HiDream I1 Dev FP8 (Recommended) vs HiDream I1 Full FP8
Last data update: 2026-06-11T22:17:24.345Z
Intent: image-same-family-cost-and-size-comparison
Quality gate
- Eligible for indexable canary
- yes
- Evidence score
- 7
| Check | Pass | Evidence |
|---|---|---|
| same-type intent | yes | image vs image |
| distinct models | yes | hidream-i1-dev-fp8 vs hidream-i1-full-fp8 |
| pricing present | yes | $0.49/hr and $0.49/hr |
| deployment target present | yes | gpu-a6000 and gpu-a6000 |
| source config facts present | yes | 38 facts and 38 facts |
| same-type catalog context present | yes | 27 image catalog rows |
| asset evidence when workflow model | yes | 69 matched asset rows |
Evidence summary
- hidream-i1-dev-fp8__hidream-i1-full-fp8 intent: image-same-family-cost-and-size-comparison; this pair is compared as a same-type deployment decision, not as an arbitrary generated adjacency;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 cost profile: hidream-i1-dev-fp8 costs $0.49/hr and $352.8/mo at 720h; hidream-i1-full-fp8 costs $0.49/hr and $352.8/mo at 720h;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 instance profile: hidream-i1-dev-fp8=gpu-a6000 large comfyui-hidream; hidream-i1-full-fp8=gpu-a6000 large comfyui-hidream;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 description comparison: hidream-i1-dev-fp8=17B parameter model with excellent prompt following; Uses Flux architecture;; hidream-i1-full-fp8=Full quality 17B model with FP8 quantization;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 group evidence: hidream-i1-dev-fp8=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs;; hidream-i1-full-fp8=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 nearby catalog count: 27 image models were available for internal context during page selection;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 matched deployment assets: hidream_i1_dev_fp8.safetensors, hidream_i1_full_fp8.safetensors, hidream_i1_dev_bf16.safetensors, hidream_i1_fast_fp8.safetensors, hidream_i1_full_fp16.safetensors, llama_3.1_8b_instruct_fp8_scaled.safetensors, clip_g_hidream.safetensors, clip_l_hidream.safetensors;
| HiDream I1 Dev FP8 (Recommended) | HiDream I1 Full FP8 | |
|---|---|---|
| Model group | hidream | hidream |
| Type | image | image |
| Source id | hidream-i1-dev-fp8 | hidream-i1-full-fp8 |
| Model size tier | large | large |
| Deployment template | comfyui-hidream | comfyui-hidream |
| Docker image base | comfyui | comfyui |
| Container port | 8188 | 8188 |
| Web UI port | n/a | n/a |
| Volume mount path | /data | /data |
| Parameters | 17B | 17B |
| Context window | n/a | n/a |
| VRAM (GB) | 48 | 48 |
| Recommended GPU | gpu-a6000 | gpu-a6000 |
| GPU type | NVIDIA RTX A6000 | NVIDIA RTX A6000 |
| GPU count | 1 | 1 |
| vCPU | 9 | 9 |
| RAM (GB) | 50 | 50 |
| Disk (GB) | 200 | 200 |
| Instance type | gpu-high-vram-value | gpu-high-vram-value |
| RunPod id | n/a | n/a |
| $/hr | $0.49 | $0.49 |
| $/month (24/7) | $352.8 | $352.8 |
| Popularity (1-10) | 8 | 7 |
| Deploy time (min) | 18 | 18 |
- Cost delta /hr
- $0
- VRAM delta GB
- 0
- Best GPU tier to fit both
- gpu-a6000
Cost scenarios
| Usage level | Hours / month | hidream-i1-dev-fp8 | hidream-i1-full-fp8 | Delta |
|---|---|---|---|---|
| Prototype, 40 hr/mo | 40 | $19.6 | $19.6 | $0 |
| Part-time app, 160 hr/mo | 160 | $78.4 | $78.4 | $0 |
| Always-on, 720 hr/mo | 720 | $352.8 | $352.8 | $0 |
Decision matrix
| Factor | hidream-i1-dev-fp8 | hidream-i1-full-fp8 | Winner |
|---|---|---|---|
| Lower hourly cost | $0.49/hr | $0.49/hr | hidream-i1-dev-fp8 |
| Lower 24/7 monthly cost | $352.8/mo | $352.8/mo | hidream-i1-dev-fp8 |
| Lower VRAM tier | 48GB | 48GB | hidream-i1-dev-fp8 |
| Higher popularity score | 8/10 | 7/10 | hidream-i1-dev-fp8 |
| Faster deployment estimate | 18 min | 18 min | hidream-i1-dev-fp8 |
| Template specificity | comfyui-hidream | comfyui-hidream | hidream-i1-dev-fp8 |
Pair config delta
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__slug; hidream-i1-dev-fp8=hidream-i1-dev-fp8; hidream-i1-full-fp8=hidream-i1-full-fp8; comparison=different value; source=adapter identity
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__sourceId; hidream-i1-dev-fp8=hidream-i1-dev-fp8; hidream-i1-full-fp8=hidream-i1-full-fp8; comparison=different value; source=modelConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__displayName; hidream-i1-dev-fp8=HiDream I1; hidream-i1-full-fp8=HiDream I1; comparison=same value; source=modelConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__sizeVariant; hidream-i1-dev-fp8=Dev FP8 (Recommended); hidream-i1-full-fp8=Full FP8; comparison=different value; source=modelConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__modelGroup; hidream-i1-dev-fp8=hidream; hidream-i1-full-fp8=hidream; comparison=same value; source=modelConfig.js / modelSeoData.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__type; hidream-i1-dev-fp8=image; hidream-i1-full-fp8=image; comparison=same value; source=modelConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__modelSize; hidream-i1-dev-fp8=large; hidream-i1-full-fp8=large; comparison=same value; source=resolved model config
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__templateName; hidream-i1-dev-fp8=comfyui-hidream; hidream-i1-full-fp8=comfyui-hidream; comparison=same value; source=resolved model config
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__dockerImageBaseName; hidream-i1-dev-fp8=comfyui; hidream-i1-full-fp8=comfyui; comparison=same value; source=resolved model config
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__containerPort; hidream-i1-dev-fp8=8188; hidream-i1-full-fp8=8188; comparison=same numeric value; source=resolved deployment config
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__webUIPort; hidream-i1-dev-fp8=not-specified; hidream-i1-full-fp8=not-specified; comparison=same value; source=resolved deployment config
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__volumeMountPath; hidream-i1-dev-fp8=/data; hidream-i1-full-fp8=/data; comparison=same value; source=resolved deployment config
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__recommendedInstance; hidream-i1-dev-fp8=gpu-a6000; hidream-i1-full-fp8=gpu-a6000; comparison=same value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__recommendedInstanceName; hidream-i1-dev-fp8=GPU High VRAM (A6000); hidream-i1-full-fp8=GPU High VRAM (A6000); comparison=same value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__recommendedInstanceSpecs; hidream-i1-dev-fp8=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; hidream-i1-full-fp8=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; comparison=same value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__gpuType; hidream-i1-dev-fp8=NVIDIA RTX A6000; hidream-i1-full-fp8=NVIDIA RTX A6000; comparison=same value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__gpuCount; hidream-i1-dev-fp8=1; hidream-i1-full-fp8=1; comparison=same numeric value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__vramGB; hidream-i1-dev-fp8=48; hidream-i1-full-fp8=48; comparison=same numeric value; source=instanceConfig.js derived fit
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__vCPU; hidream-i1-dev-fp8=9; hidream-i1-full-fp8=9; comparison=same numeric value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__ramGB; hidream-i1-dev-fp8=50; hidream-i1-full-fp8=50; comparison=same numeric value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__diskGB; hidream-i1-dev-fp8=200; hidream-i1-full-fp8=200; comparison=same numeric value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__instanceType; hidream-i1-dev-fp8=gpu-high-vram-value; hidream-i1-full-fp8=gpu-high-vram-value; comparison=same value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__runpodInstanceId; hidream-i1-dev-fp8=not-specified; hidream-i1-full-fp8=not-specified; comparison=same value; source=instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__hourlyCost; hidream-i1-dev-fp8=0.49; hidream-i1-full-fp8=0.49; comparison=same numeric value; source=instanceConfig.js deployCost
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__monthlyCost720h; hidream-i1-dev-fp8=352.8; hidream-i1-full-fp8=352.8; comparison=same numeric value; source=derived from hourly cost
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__deployTimeMinutes; hidream-i1-dev-fp8=18; hidream-i1-full-fp8=18; comparison=same numeric value; source=adapter estimate
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__popularity; hidream-i1-dev-fp8=8; hidream-i1-full-fp8=7; comparison=modelA higher by 1; source=modelConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__groupPopularity; hidream-i1-dev-fp8=85; hidream-i1-full-fp8=85; comparison=same numeric value; source=modelConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__paramCount; hidream-i1-dev-fp8=17B; hidream-i1-full-fp8=17B; comparison=same value; source=parsed from model metadata
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__contextWindow; hidream-i1-dev-fp8=not-specified; hidream-i1-full-fp8=not-specified; comparison=same value; source=parsed from model metadata
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__description; hidream-i1-dev-fp8=17B parameter model with excellent prompt following; Uses Flux architecture;; hidream-i1-full-fp8=Full quality 17B model with FP8 quantization;; comparison=different value; source=modelConfig.js / modelSeoData.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__useCases; hidream-i1-dev-fp8=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model; hidream-i1-full-fp8=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model; comparison=same value; source=modelSeoData.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__relatedGroups; hidream-i1-dev-fp8=flux-2; qwen-image-2512; flux; hidream-i1-full-fp8=flux-2; qwen-image-2512; flux; comparison=same value; source=modelSeoData.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__sourceFiles; hidream-i1-dev-fp8=src/config/modelConfig.js; src/config/modelSeoData.js; src/config/instanceConfig.js; hidream-i1-full-fp8=src/config/modelConfig.js; src/config/modelSeoData.js; src/config/instanceConfig.js; comparison=same value; source=snapshot sync
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__aboutBlurb; hidream-i1-dev-fp8=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs;; hidream-i1-full-fp8=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs;; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__configKeys; hidream-i1-dev-fp8=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8; hidream-i1-full-fp8=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__defaultConfig.containerPort; hidream-i1-dev-fp8=8188; hidream-i1-full-fp8=8188; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__defaultConfig.dockerImageBaseName; hidream-i1-dev-fp8=comfyui-flux; hidream-i1-full-fp8=comfyui-flux; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__defaultConfig.modelSize; hidream-i1-dev-fp8=medium; hidream-i1-full-fp8=medium; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__defaultConfig.templateName; hidream-i1-dev-fp8=comfyui-flux; hidream-i1-full-fp8=comfyui-flux; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__defaultConfig.volumeMountPath; hidream-i1-dev-fp8=/data; hidream-i1-full-fp8=/data; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__displayName; hidream-i1-dev-fp8=HiDream I1; hidream-i1-full-fp8=HiDream I1; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__dockerImageBaseName; hidream-i1-dev-fp8=comfyui; hidream-i1-full-fp8=comfyui; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__dockerImageTag; hidream-i1-dev-fp8=hidream; hidream-i1-full-fp8=hidream; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__groupPopularity; hidream-i1-dev-fp8=85; hidream-i1-full-fp8=85; comparison=same numeric value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__h1; hidream-i1-dev-fp8=Deploy HiDream I1; hidream-i1-full-fp8=Deploy HiDream I1; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__id; hidream-i1-dev-fp8=hidream-i1-dev-fp8; hidream-i1-full-fp8=hidream-i1-full-fp8; comparison=different value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__modelGroup; hidream-i1-dev-fp8=hidream; hidream-i1-full-fp8=hidream; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__modelSize; hidream-i1-dev-fp8=large; hidream-i1-full-fp8=large; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__modelType; hidream-i1-dev-fp8=image; hidream-i1-full-fp8=image; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__name; hidream-i1-dev-fp8=HiDream I1 Dev FP8; hidream-i1-full-fp8=HiDream I1 Full FP8; comparison=different value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__popularity; hidream-i1-dev-fp8=8; hidream-i1-full-fp8=7; comparison=modelA higher by 1; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.deployCost; hidream-i1-dev-fp8=0.49; hidream-i1-full-fp8=0.49; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.disk; hidream-i1-dev-fp8=200; hidream-i1-full-fp8=200; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.gpuCount; hidream-i1-dev-fp8=1; hidream-i1-full-fp8=1; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.gpuType; hidream-i1-dev-fp8=NVIDIA RTX A6000; hidream-i1-full-fp8=NVIDIA RTX A6000; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.id; hidream-i1-dev-fp8=gpu-a6000; hidream-i1-full-fp8=gpu-a6000; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.name; hidream-i1-dev-fp8=GPU High VRAM (A6000); hidream-i1-full-fp8=GPU High VRAM (A6000); comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.ram; hidream-i1-dev-fp8=50; hidream-i1-full-fp8=50; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.suitableFor; hidream-i1-dev-fp8=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; hidream-i1-full-fp8=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.type; hidream-i1-dev-fp8=gpu-high-vram-value; hidream-i1-full-fp8=gpu-high-vram-value; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__recommendedInstance.vCPU; hidream-i1-dev-fp8=9; hidream-i1-full-fp8=9; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__relatedGroups; hidream-i1-dev-fp8=flux-2, qwen-image-2512, flux; hidream-i1-full-fp8=flux-2, qwen-image-2512, flux; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__resolvedConfig.containerPort; hidream-i1-dev-fp8=8188; hidream-i1-full-fp8=8188; comparison=same numeric value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__resolvedConfig.dockerImageBaseName; hidream-i1-dev-fp8=comfyui; hidream-i1-full-fp8=comfyui; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__resolvedConfig.modelSize; hidream-i1-dev-fp8=large; hidream-i1-full-fp8=large; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__resolvedConfig.templateName; hidream-i1-dev-fp8=comfyui-hidream; hidream-i1-full-fp8=comfyui-hidream; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__resolvedConfig.volumeMountPath; hidream-i1-dev-fp8=/data; hidream-i1-full-fp8=/data; comparison=same value; source=resolved config snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__sizeVariant; hidream-i1-dev-fp8=Dev FP8 (Recommended); hidream-i1-full-fp8=Full FP8; comparison=different value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__slug; hidream-i1-dev-fp8=hidream-i1; hidream-i1-full-fp8=hidream-i1; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__templateName; hidream-i1-dev-fp8=comfyui-hidream; hidream-i1-full-fp8=comfyui-hidream; comparison=same value; source=model config or SEO snapshot
- hidream-i1-dev-fp8__hidream-i1-full-fp8 field=hidream-i1-dev-fp8__hidream-i1-full-fp8__fact__useCases; hidream-i1-dev-fp8=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model; hidream-i1-full-fp8=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model; comparison=same value; source=model config or SEO snapshot
Description comparison
| Field | hidream-i1-dev-fp8 | hidream-i1-full-fp8 |
|---|---|---|
| Description | 17B parameter model with excellent prompt following; Uses Flux architecture; | Full quality 17B model with FP8 quantization; |
| Use cases | Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model | Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model |
| Related groups | flux-2; qwen-image-2512; flux | flux-2; qwen-image-2512; flux |
Deployment facts
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source id comparison: hidream-i1-dev-fp8=hidream-i1-dev-fp8; hidream-i1-full-fp8=hidream-i1-full-fp8;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 template comparison: hidream-i1-dev-fp8 uses comfyui-hidream with comfyui; hidream-i1-full-fp8 uses comfyui-hidream with comfyui;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 instance comparison: hidream-i1-dev-fp8 runs on GPU High VRAM (A6000) at $0.49/hr and 48GB VRAM; hidream-i1-full-fp8 runs on GPU High VRAM (A6000) at $0.49/hr and 48GB VRAM;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 fit notes: hidream-i1-dev-fp8=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; hidream-i1-full-fp8=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 use case comparison: hidream-i1-dev-fp8=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model; hidream-i1-full-fp8=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source files: hidream-i1-dev-fp8=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js; hidream-i1-full-fp8=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js;
Deployment payload fields
hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_a.modelType=image hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_a.modelName=hidream-i1-dev-fp8 hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_a.instanceId=gpu-a6000 hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_a.templateName=comfyui-hidream hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_a.containerPort=default hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_a.dockerImageBaseName=comfyui hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_b.modelType=image hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_b.modelName=hidream-i1-full-fp8 hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_b.instanceId=gpu-a6000 hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_b.templateName=comfyui-hidream hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_b.containerPort=default hidream-i1-dev-fp8__hidream-i1-full-fp8.candidate_b.dockerImageBaseName=comfyui
Matched model assets
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-1 filename=hidream_i1_dev_fp8.safetensors; size=17.1GB; type=unet; destination=diffusion_models; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/diffusion_models/hidream_i1_dev_fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-2 filename=hidream_i1_full_fp8.safetensors; size=17.1GB; type=unet; destination=diffusion_models; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/diffusion_models/hidream_i1_full_fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-3 filename=hidream_i1_dev_bf16.safetensors; size=34.2GB; type=unet; destination=diffusion_models; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/diffusion_models/hidream_i1_dev_bf16.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-4 filename=hidream_i1_fast_fp8.safetensors; size=17.1GB; type=unet; destination=diffusion_models; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/diffusion_models/hidream_i1_fast_fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-5 filename=hidream_i1_full_fp16.safetensors; size=34.2GB; type=unet; destination=diffusion_models; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/diffusion_models/hidream_i1_full_fp16.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-6 filename=llama_3.1_8b_instruct_fp8_scaled.safetensors; size=9.08GB; type=clip; destination=clip; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/text_encoders/llama_3.1_8b_instruct_fp8_scaled.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-7 filename=clip_g_hidream.safetensors; size=1.39GB; type=clip; destination=clip; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/text_encoders/clip_g_hidream.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-8 filename=clip_l_hidream.safetensors; size=248MB; type=clip; destination=clip; repository=Comfy-Org/HiDream-I1_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HiDream-I1_ComfyUI/resolve/main/split_files/text_encoders/clip_l_hidream.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-9 filename=flux1-dev-fp8.safetensors; size=11.9GB; type=unet; destination=unet; repository=Kijai/flux-fp8; host=huggingface.co; url=https://huggingface.co/Kijai/flux-fp8/resolve/main/flux1-dev-fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-10 filename=flux1-dev-kontext_fp8_scaled.safetensors; size=11.09GB; type=unet; destination=diffusion_models; repository=Comfy-Org/flux1-kontext-dev_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux1-kontext-dev_ComfyUI/resolve/main/split_files/diffusion_models/flux1-dev-kontext_fp8_scaled.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-11 filename=flux1-kontext-dev-fp8.safetensors; size=11.9GB; type=unet; destination=unet; repository=6chan/flux1-kontext-dev-fp8; host=huggingface.co; url=https://huggingface.co/6chan/flux1-kontext-dev-fp8/resolve/main/flux1-kontext-dev-fp8-e4m3fn.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-12 filename=flux2_dev_fp8mixed.safetensors; size=32.2GB; type=unet; destination=diffusion_models; repository=Comfy-Org/flux2-dev; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/diffusion_models/flux2_dev_fp8mixed.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-13 filename=gemma_3_12b_it_fp8_e4m3fn.safetensors; size=12.8GB; type=clip; destination=text_encoders; repository=Lightricks/LTX-Video-2-0.9.5-DEV; host=huggingface.co; url=https://huggingface.co/Lightricks/LTX-Video-2-0.9.5-DEV/resolve/main/gemma_3_12B_it_fp8_e4m3fn.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-14 filename=ltx-2-19b-dev-fp8.safetensors; size=9.59GB; type=checkpoint; destination=checkpoints; repository=Lightricks/LTX-Video-2-0.9.5-DEV; host=huggingface.co; url=https://huggingface.co/Lightricks/LTX-Video-2-0.9.5-DEV/resolve/main/ltx-video-2-0.9.5-dev-fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-15 filename=ltx-2.3-22b-dev-fp8.safetensors; size=29.2GB; type=checkpoint; destination=checkpoints; repository=Lightricks/LTX-2.3-fp8; host=huggingface.co; url=https://huggingface.co/Lightricks/LTX-2.3-fp8/resolve/main/ltx-2.3-22b-dev-fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-16 filename=mistral_3_small_flux2_fp8.safetensors; size=18GB; type=clip; destination=text_encoders; repository=Comfy-Org/flux2-dev; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/text_encoders/mistral_3_small_flux2_fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-17 filename=sulphur_dev_fp8mixed.safetensors; size=29.2GB; type=checkpoint; destination=checkpoints; repository=SulphurAI/Sulphur-2-base; host=huggingface.co; url=https://huggingface.co/SulphurAI/Sulphur-2-base/resolve/main/sulphur_dev_fp8mixed.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-18 filename=ae.safetensors; size=335MB; type=vae; destination=vae; repository=black-forest-labs/FLUX.1-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/ae.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-19 filename=Claymation.safetensors; size=353MB; type=lora; destination=loras; repository=vrgamedevgirl84/LTX_2.3_Clay_Mation_Style_LoRa; host=huggingface.co; url=https://huggingface.co/vrgamedevgirl84/LTX_2.3_Clay_Mation_Style_LoRa/resolve/main/Claymation.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-20 filename=flux-2-klein-9b-fp8.safetensors; size=9.43GB; type=unet; destination=diffusion_models; repository=black-forest-labs/FLUX.2-klein-9b-fp8; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8/resolve/main/flux-2-klein-9b-fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-21 filename=flux1-dev.safetensors; size=23.8GB; type=unet; destination=unet; repository=black-forest-labs/FLUX.1-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.1-dev/resolve/main/flux1-dev.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-22 filename=flux1-fill-dev.safetensors; size=23.8GB; type=unet; destination=unet; repository=black-forest-labs/FLUX.1-Fill-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev/resolve/main/flux1-fill-dev.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-23 filename=flux1-kontext-dev.safetensors; size=23.8GB; type=unet; destination=unet; repository=black-forest-labs/FLUX.1-Kontext-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev/resolve/main/flux1-kontext-dev.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-24 filename=flux1-redux-dev.safetensors; size=182MB; type=style; destination=style_models; repository=black-forest-labs/FLUX.1-Redux-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev/resolve/main/flux1-redux-dev.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-25 filename=flux2-dev-Q4_K_M.gguf; size=20.1GB; type=unet_gguf; destination=unet; repository=city96/FLUX.2-dev-gguf; host=huggingface.co; url=https://huggingface.co/city96/FLUX.2-dev-gguf/resolve/main/flux2-dev-Q4_K_M.gguf
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-26 filename=flux2-dev-Q5_K_M.gguf; size=24.1GB; type=unet_gguf; destination=unet; repository=city96/FLUX.2-dev-gguf; host=huggingface.co; url=https://huggingface.co/city96/FLUX.2-dev-gguf/resolve/main/flux2-dev-Q5_K_M.gguf
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-27 filename=flux2-dev-Q8_0.gguf; size=35GB; type=unet_gguf; destination=unet; repository=city96/FLUX.2-dev-gguf; host=huggingface.co; url=https://huggingface.co/city96/FLUX.2-dev-gguf/resolve/main/flux2-dev-Q8_0.gguf
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-28 filename=flux2-dev.safetensors; size=64.4GB; type=unet; destination=diffusion_models; repository=black-forest-labs/FLUX.2-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.2-dev/resolve/main/flux2-dev.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-29 filename=flux2-vae.safetensors; size=336MB; type=vae; destination=vae; repository=Comfy-Org/flux2-dev; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/vae/flux2-vae.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-30 filename=ip-adapter_flux.safetensors; size=1.58GB; type=ip_adapter; destination=ipadapter; repository=InstantX/FLUX.1-dev-IP-Adapter; host=huggingface.co; url=https://huggingface.co/InstantX/FLUX.1-dev-IP-Adapter/resolve/main/ip-adapter.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-31 filename=llava_llama3_fp8_scaled.safetensors; size=4.9GB; type=clip; destination=text_encoders; repository=Comfy-Org/HunyuanVideo_repackaged; host=huggingface.co; url=https://huggingface.co/Comfy-Org/HunyuanVideo_repackaged/resolve/main/split_files/text_encoders/llava_llama3_fp8_scaled.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-32 filename=ltx-2-19b-distilled-fp8.safetensors; size=27.1GB; type=checkpoint; destination=checkpoints; repository=Lightricks/LTX-2; host=huggingface.co; url=https://huggingface.co/Lightricks/LTX-2/resolve/main/ltx-2-19b-distilled-fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-33 filename=ltx-2.3-22b-dev.safetensors; size=46.1GB; type=checkpoint; destination=checkpoints; repository=Lightricks/LTX-2.3; host=huggingface.co; url=https://huggingface.co/Lightricks/LTX-2.3/resolve/main/ltx-2.3-22b-dev.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-34 filename=ltx-2.3-22b-distilled-fp8.safetensors; size=29.5GB; type=checkpoint; destination=checkpoints; repository=Lightricks/LTX-2.3-fp8; host=huggingface.co; url=https://huggingface.co/Lightricks/LTX-2.3-fp8/resolve/main/ltx-2.3-22b-distilled-fp8.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-35 filename=LTX2.3_Crisp_Enhance.safetensors; size=705MB; type=lora; destination=loras; repository=vrgamedevgirl84/LTX_2.3_Crisp_Enhance_Style_LoRa; host=huggingface.co; url=https://huggingface.co/vrgamedevgirl84/LTX_2.3_Crisp_Enhance_Style_LoRa/resolve/main/LTX2.3_Crisp_Enhance.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-36 filename=LTX2.3_Soft_Enhance.safetensors; size=353MB; type=lora; destination=loras; repository=vrgamedevgirl84/LTX_2.3_Soft_Enhance_Style_LoRa; host=huggingface.co; url=https://huggingface.co/vrgamedevgirl84/LTX_2.3_Soft_Enhance_Style_LoRa/resolve/main/LTX2.3_Soft_Enhance.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-37 filename=Luxe_Sensual.safetensors; size=353MB; type=lora; destination=loras; repository=vrgamedevgirl84/LTX_2.3_Luxe_Sensual_Style_LoRa; host=huggingface.co; url=https://huggingface.co/vrgamedevgirl84/LTX_2.3_Luxe_Sensual_Style_LoRa/resolve/main/Luxe_Sensual.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-38 filename=mistral_3_small_flux2_bf16.safetensors; size=36GB; type=clip; destination=text_encoders; repository=Comfy-Org/flux2-dev; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/text_encoders/mistral_3_small_flux2_bf16.safetensors
- hidream-i1-dev-fp8__hidream-i1-full-fp8 asset-39 filename=qwen_2.5_vl_7b_fp8_scaled.safetensors; size=9.38GB; type=clip; destination=text_encoders; repository=Comfy-Org/Qwen-Image_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors
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Paired source evidence
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=id; value=hidream-i1-dev-fp8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=name; value=HiDream I1 Dev FP8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=displayName; value=HiDream I1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=sizeVariant; value=Dev FP8 (Recommended)
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=templateName; value=comfyui-hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=dockerImageBaseName; value=comfyui
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=dockerImageTag; value=hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=modelSize; value=large
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=popularity; value=8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=modelGroup; value=hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=groupPopularity; value=85
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=h1; value=Deploy HiDream I1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=aboutBlurb; value=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=useCases; value=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=relatedGroups; value=flux-2, qwen-image-2512, flux
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=configKeys; value=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=defaultConfig.templateName; value=comfyui-flux
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=defaultConfig.dockerImageBaseName; value=comfyui-flux
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=defaultConfig.containerPort; value=8188
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=defaultConfig.volumeMountPath; value=/data
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=defaultConfig.modelSize; value=medium
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=resolvedConfig.templateName; value=comfyui-hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=resolvedConfig.dockerImageBaseName; value=comfyui
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=resolvedConfig.containerPort; value=8188
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=resolvedConfig.volumeMountPath; value=/data
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=resolvedConfig.modelSize; value=large
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.id; value=gpu-a6000
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.name; value=GPU High VRAM (A6000)
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.suitableFor; value=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.vCPU; value=9
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.ram; value=50
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.disk; value=200
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.gpuType; value=NVIDIA RTX A6000
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.gpuCount; value=1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.type; value=gpu-high-vram-value
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=recommendedInstance.deployCost; value=0.49
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=slug; value=hidream-i1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-dev-fp8; field=modelType; value=image
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=id; value=hidream-i1-full-fp8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=name; value=HiDream I1 Full FP8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=displayName; value=HiDream I1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=sizeVariant; value=Full FP8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=templateName; value=comfyui-hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=dockerImageBaseName; value=comfyui
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=dockerImageTag; value=hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=modelSize; value=large
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=popularity; value=7
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=modelGroup; value=hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=groupPopularity; value=85
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=h1; value=Deploy HiDream I1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=aboutBlurb; value=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs;
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=useCases; value=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=relatedGroups; value=flux-2, qwen-image-2512, flux
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=configKeys; value=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=defaultConfig.templateName; value=comfyui-flux
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=defaultConfig.dockerImageBaseName; value=comfyui-flux
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=defaultConfig.containerPort; value=8188
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=defaultConfig.volumeMountPath; value=/data
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=defaultConfig.modelSize; value=medium
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=resolvedConfig.templateName; value=comfyui-hidream
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=resolvedConfig.dockerImageBaseName; value=comfyui
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=resolvedConfig.containerPort; value=8188
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=resolvedConfig.volumeMountPath; value=/data
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=resolvedConfig.modelSize; value=large
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.id; value=gpu-a6000
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.name; value=GPU High VRAM (A6000)
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.suitableFor; value=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.vCPU; value=9
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.ram; value=50
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.disk; value=200
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.gpuType; value=NVIDIA RTX A6000
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.gpuCount; value=1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.type; value=gpu-high-vram-value
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=recommendedInstance.deployCost; value=0.49
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=slug; value=hidream-i1
- hidream-i1-dev-fp8__hidream-i1-full-fp8 source-model=hidream-i1-full-fp8; field=modelType; value=image
Pair-scoped catalog context
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-1 nearby=hidream-i1-dev-fp8; relation=selected-model-a; group=hidream; size=Dev FP8 (Recommended)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-hidream; docker=comfyui; template-match-a=yes; template-match-b=yes; term-overlap-a=14; term-overlap-b=13; source=hidream-i1-dev-fp8; description=17B parameter model with excellent prompt following; Uses Flux architecture;; useCases=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model; config=id=hidream-i1-dev-fp8 | name=HiDream I1 Dev FP8 | displayName=HiDream I1 | sizeVariant=Dev FP8 (Recommended) | templateName=comfyui-hidream | dockerImageBaseName=comfyui | dockerImageTag=hidream | modelSize=large | popularity=8 | modelGroup=hidream | groupPopularity=85 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-hidream | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=hidream-i1 | modelType=image | h1=Deploy HiDream I1 | aboutBlurb=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs; | useCases=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model | relatedGroups=flux-2, qwen-image-2512, flux | configKeys=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-2 nearby=hidream-i1-full-fp8; relation=selected-model-b; group=hidream; size=Full FP8/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-hidream; docker=comfyui; template-match-a=yes; template-match-b=yes; term-overlap-a=13; term-overlap-b=14; source=hidream-i1-full-fp8; description=Full quality 17B model with FP8 quantization;; useCases=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model; config=id=hidream-i1-full-fp8 | name=HiDream I1 Full FP8 | displayName=HiDream I1 | sizeVariant=Full FP8 | templateName=comfyui-hidream | dockerImageBaseName=comfyui | dockerImageTag=hidream | modelSize=large | popularity=7 | modelGroup=hidream | groupPopularity=85 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-hidream | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=hidream-i1 | modelType=image | h1=Deploy HiDream I1 | aboutBlurb=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs; | useCases=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model | relatedGroups=flux-2, qwen-image-2512, flux | configKeys=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-3 nearby=hidream-i1-fast-fp8; relation=same-group-as-hidream-i1-dev-fp8; group=hidream; size=Fast FP8 (4-step)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-hidream; docker=comfyui; template-match-a=yes; template-match-b=yes; term-overlap-a=13; term-overlap-b=13; source=hidream-i1-fast-fp8; description=Distilled 4-step version for fast generation;; useCases=Prompt-accurate image generation; Creative illustration; Commercial image production; Fine-tuning base model; config=id=hidream-i1-fast-fp8 | name=HiDream I1 Fast FP8 | displayName=HiDream I1 | sizeVariant=Fast FP8 (4-step) | templateName=comfyui-hidream | dockerImageBaseName=comfyui | dockerImageTag=hidream | modelSize=large | popularity=6 | modelGroup=hidream | groupPopularity=85 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-hidream | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=hidream-i1 | modelType=image | h1=Deploy HiDream I1 | aboutBlurb=HiDream I1 is a 17B parameter image generation model with excellent prompt following; Available in Dev, Full, and Fast variants with FP8 quantization for efficient deployment on consumer GPUs; | useCases=Prompt-accurate image generation, Creative illustration, Commercial image production, Fine-tuning base model | relatedGroups=flux-2, qwen-image-2512, flux | configKeys=hidream-i1-dev-fp8, hidream-i1-full-fp8, hidream-i1-fast-fp8; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-4 nearby=qwen-image-2512; relation=same-deployment-tier; group=qwen-image; size=2512 (Latest)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-qwen-image-2512; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=2; source=qwen-image-2512; description=#1 open-source model; Superior text rendering, realistic humans;; useCases=Marketing and advertising visuals; Product photography; Text-heavy graphic design; Realistic portrait generation; config=id=qwen-image-2512 | name=Qwen-Image-2512 | displayName=Qwen Image | sizeVariant=2512 (Latest) | templateName=comfyui-qwen-image-2512 | dockerImageBaseName=comfyui | dockerImageTag=qwen-image-2512 | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/qwen_image/ | modelSize=large | popularity=11 | modelGroup=qwen-image | groupPopularity=105 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-qwen-image-2512 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=qwen-image-2512 | modelType=image | h1=Deploy Qwen-Image-2512 | aboutBlurb=Qwen-Image-2512 is the #1 ranked open-source image generation model; It excels at realistic human faces, accurate text rendering, and complex compositions; Built by Alibaba's Tongyi Lab; | useCases=Marketing and advertising visuals, Product photography, Text-heavy graphic design, Realistic portrait generation | relatedGroups=flux-2-klein, z-image-turbo, flux | configKeys=qwen-image-2512; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-5 nearby=flux2-dev-fp8; relation=same-deployment-tier; group=flux2; size=Dev FP8 (Balanced)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=flux2-dev-fp8; description=32B model with multi-image editing; Runs on RTX 4090/5090; Best open-weight model;; useCases=Multi-image editing workflows; Professional image generation; Fine-grained image control; Production-quality outputs; config=id=flux2-dev-fp8 | name=FLUX.2 Dev FP8 | displayName=FLUX.2 | sizeVariant=Dev FP8 (Balanced) | templateName=comfyui-flux2 | dockerImageBaseName=comfyui | dockerImageTag=flux2 | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/flux2/ | modelSize=large | popularity=10 | modelGroup=flux2 | groupPopularity=98 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux2 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=flux-2 | modelType=image | h1=Deploy FLUX.2 | aboutBlurb=FLUX.2 is Black Forest Labs' 32B parameter model with multi-image editing capabilities; The Dev FP8 variant runs on RTX 4090/5090, while the full model requires 48GB+ VRAM for maximum quality; | useCases=Multi-image editing workflows, Professional image generation, Fine-grained image control, Production-quality outputs | relatedGroups=flux-2-klein, flux, hidream-i1 | configKeys=flux2-dev-fp8, flux2-dev, flux2-dev-q4; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-6 nearby=qwen-image-edit; relation=same-deployment-tier; group=qwen-image; size=Edit 2511/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-qwen; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=qwen-image-edit; description=AI product staging and image editing; Upload a photo, describe the scene you want; 4-step Lightning;; useCases=Image editing and inpainting; Bilingual prompt support; Text-guided image modification; Chinese-language image generation; config=id=qwen-image-edit | name=Qwen Image Edit 2511 | displayName=Qwen Image | sizeVariant=Edit 2511 | templateName=comfyui-qwen | dockerImageBaseName=comfyui | dockerImageTag=qwen-image-gen | modelSize=large | popularity=8 | modelGroup=qwen-image | groupPopularity=80 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-qwen | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=qwen-image | modelType=image | h1=Deploy Qwen Image | aboutBlurb=Qwen Image models from Alibaba Tongyi provide precise text and semantic image editing alongside high-quality generation; They support bilingual Chinese and English prompts for global workflows; | useCases=Image editing and inpainting, Bilingual prompt support, Text-guided image modification, Chinese-language image generation | relatedGroups=qwen-image-2512, flux, stable-diffusion | configKeys=qwen-image-edit, qwen-image-gen; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-7 nearby=flux-story-krea; relation=same-deployment-tier; group=story-diffusion; size=large/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-story; docker=comfyui-story; template-match-a=no; template-match-b=no; term-overlap-a=0; term-overlap-b=0; source=flux-story-krea; description=Character-consistent sequential image generation with natural Krea aesthetics; Perfect for visual storytelling, comics, and brand mascots;; useCases=; config=id=flux-story-krea | name=Flux.1 Krea + StoryDiffusion | templateName=comfyui-story | dockerImageBaseName=comfyui-story | modelSize=large | popularity=7 | modelGroup=story-diffusion | groupPopularity=75 | templateOnly=true | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-story | resolvedConfig.dockerImageBaseName=comfyui-story | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-8 nearby=sdxl-story; relation=same-deployment-tier; group=story-diffusion; size=large/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-story; docker=comfyui-story; template-match-a=no; template-match-b=no; term-overlap-a=0; term-overlap-b=0; source=sdxl-story; description=Character-consistent generation with Stable Diffusion XL base model; Good balance of quality and performance;; useCases=; config=id=sdxl-story | name=SDXL + StoryDiffusion | templateName=comfyui-story | dockerImageBaseName=comfyui-story | modelSize=large | popularity=6 | modelGroup=story-diffusion | groupPopularity=75 | templateOnly=true | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-story | resolvedConfig.dockerImageBaseName=comfyui-story | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-9 nearby=stable-diffusion-35-large; relation=same-deployment-tier; group=stable-diffusion; size=Large/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=stable-diffusion-35-large; description=Latest SD flagship; Better text than SDXL;; useCases=LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem; config=id=stable-diffusion-35-large | name=Stable Diffusion 3.5 Large | displayName=Stable Diffusion 3.5 | sizeVariant=Large | templateName=comfyui-dynamic | dockerImageBaseName=comfyui | dockerImageTag=dynamic | modelSize=large | popularity=6 | modelGroup=stable-diffusion | groupPopularity=90 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-dynamic | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=stable-diffusion | modelType=image | h1=Deploy Stable Diffusion | aboutBlurb=Stable Diffusion by Stability AI is the most widely adopted image generation family with the largest ecosystem of fine-tunes and LoRAs; SDXL generates 1024x1024 images, while SD 3.5 offers improved text rendering; | useCases=LoRA and fine-tune deployment, Custom model training base, Established workflow integration, Community model ecosystem | relatedGroups=flux, qwen-image-2512, z-image-turbo | configKeys=stable-diffusion-xl, stable-diffusion-35-large, stable-diffusion-35-medium, stable-diffusion-35-turbo, stable-diffusion-1.5; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-10 nearby=qwen-image-gen; relation=same-deployment-tier; group=qwen-image; size=Generate/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-hidream-i1-dev-fp8=0; delta-vs-hidream-i1-full-fp8=0; template=comfyui-qwen; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=qwen-image-gen; description=High-quality generation with Chinese language support;; useCases=Image editing and inpainting; Bilingual prompt support; Text-guided image modification; Chinese-language image generation; config=id=qwen-image-gen | name=Qwen Image Generation | displayName=Qwen Image | sizeVariant=Generate | templateName=comfyui-qwen | dockerImageBaseName=comfyui | dockerImageTag=qwen-image-gen | workflowUrl=bundled://qwen-image | modelSize=large | popularity=4 | modelGroup=qwen-image | groupPopularity=80 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-qwen | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=large | recommendedInstance.id=gpu-a6000 | recommendedInstance.name=GPU High VRAM (A6000) | recommendedInstance.suitableFor=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM | recommendedInstance.vCPU=9 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA RTX A6000 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-high-vram-value | recommendedInstance.deployCost=0.49; seo=slug=qwen-image | modelType=image | h1=Deploy Qwen Image | aboutBlurb=Qwen Image models from Alibaba Tongyi provide precise text and semantic image editing alongside high-quality generation; They support bilingual Chinese and English prompts for global workflows; | useCases=Image editing and inpainting, Bilingual prompt support, Text-guided image modification, Chinese-language image generation | relatedGroups=qwen-image-2512, flux, stable-diffusion | configKeys=qwen-image-edit, qwen-image-gen; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-11 nearby=flux-kontext-dev-fp8; relation=same-type-neighbor; group=flux-kontext; size=Dev FP8 (Character Consistency)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=1; source=flux-kontext-dev-fp8; description=Character consistency via reference images; Upload a face/character photo and generate new scenes preserving identity; No custom nodes needed;; useCases=Character-consistent social media content; Brand mascot in different scenes; Visual storytelling and comics; Character design exploration; Consistent avatar generation; config=id=flux-kontext-dev-fp8 | name=Flux Kontext Dev FP8 | displayName=Flux Kontext | sizeVariant=Dev FP8 (Character Consistency) | templateName=comfyui-flux | dockerImageBaseName=comfyui-flux | dockerImageTag=flux-dev | workflowUrl=https://docs.comfy.org/tutorials/flux/flux-1-kontext-dev | modelSize=medium | popularity=11 | modelGroup=flux-kontext | groupPopularity=97 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux | resolvedConfig.dockerImageBaseName=comfyui-flux | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux-kontext | modelType=image | h1=Deploy Flux Kontext | aboutBlurb=Flux Kontext Dev is a character consistency model from Black Forest Labs; Upload a reference photo and generate new scenes that preserve the character's identity — face, clothing, style, and features; Uses native in-context conditioning (no adapters or custom nodes), achieving 98% identity retention across generations; The FP8 variant runs on L4 (24GB VRAM) at $0.53/hr; | useCases=Character-consistent social media content, Brand mascot in different scenes, Visual storytelling and comics, Character design exploration, Consistent avatar generation | relatedGroups=flux, flux-2, hidream-i1 | configKeys=flux-kontext-dev-fp8; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-12 nearby=flux2-klein-9b-fp8; relation=same-type-neighbor; group=flux2-klein; size=9B FP8 (Recommended)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=4; term-overlap-b=4; source=flux2-klein-9b-fp8; description=Fastest Flux model; Sub-second generation, 4-step distilled; Runs on RTX 4090;; useCases=Sub-second image generation; Real-time AI applications; Consumer GPU deployment; Open-source commercial use (Apache 2.0); config=id=flux2-klein-9b-fp8 | name=FLUX.2 Klein 9B FP8 | displayName=FLUX.2 Klein | sizeVariant=9B FP8 (Recommended) | templateName=comfyui-flux2 | dockerImageBaseName=comfyui | dockerImageTag=flux2 | workflowUrl=https://docs.comfy.org/tutorials/flux/flux-2-klein | modelSize=medium | popularity=11 | modelGroup=flux2-klein | groupPopularity=99 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux2 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux-2-klein | modelType=image | h1=Deploy FLUX.2 Klein | aboutBlurb=FLUX.2 Klein is the fastest model in the Flux family; The 9B FP8 variant delivers sub-second generation in 4 steps, while the 4B model is fully open source under Apache 2.0 and runs on consumer GPUs; | useCases=Sub-second image generation, Real-time AI applications, Consumer GPU deployment, Open-source commercial use (Apache 2.0) | relatedGroups=flux-2, z-image-turbo, flux | configKeys=flux2-klein-9b-fp8, flux2-klein-4b, flux2-klein-9b; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-13 nearby=flux2-klein-4b; relation=same-type-neighbor; group=flux2-klein; size=4B (Apache 2.0)/small; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=4; term-overlap-b=4; source=flux2-klein-4b; description=Fully open source (Apache 2.0); Fast generation on RTX 3090/4070; ~13GB VRAM;; useCases=Sub-second image generation; Real-time AI applications; Consumer GPU deployment; Open-source commercial use (Apache 2.0); config=id=flux2-klein-4b | name=FLUX.2 Klein 4B | displayName=FLUX.2 Klein | sizeVariant=4B (Apache 2.0) | templateName=comfyui-flux2 | dockerImageBaseName=comfyui | dockerImageTag=flux2 | workflowUrl=https://docs.comfy.org/tutorials/flux/flux-2-klein | modelSize=small | popularity=10 | modelGroup=flux2-klein | groupPopularity=99 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux2 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=small | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux-2-klein | modelType=image | h1=Deploy FLUX.2 Klein | aboutBlurb=FLUX.2 Klein is the fastest model in the Flux family; The 9B FP8 variant delivers sub-second generation in 4 steps, while the 4B model is fully open source under Apache 2.0 and runs on consumer GPUs; | useCases=Sub-second image generation, Real-time AI applications, Consumer GPU deployment, Open-source commercial use (Apache 2.0) | relatedGroups=flux-2, z-image-turbo, flux | configKeys=flux2-klein-9b-fp8, flux2-klein-4b, flux2-klein-9b; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-14 nearby=z-image-turbo; relation=same-type-neighbor; group=z-image; size=Turbo/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-zimage; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=z-image-turbo; description=Fast distilled model; Sub-second generation on H800;; useCases=Real-time image generation; Rapid prototyping and iteration; Interactive AI applications; Batch image processing; config=id=z-image-turbo | name=Z Image Turbo | displayName=Z Image | sizeVariant=Turbo | templateName=comfyui-zimage | dockerImageBaseName=comfyui | dockerImageTag=z-image-turbo | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/z_image/ | modelSize=medium | popularity=10 | modelGroup=z-image | groupPopularity=100 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-zimage | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=z-image-turbo | modelType=image | h1=Deploy Z Image Turbo | aboutBlurb=Z Image Turbo is a fast distilled image generation model from Alibaba Tongyi; It achieves sub-second generation times on high-end GPUs, making it ideal for real-time applications and rapid iteration; | useCases=Real-time image generation, Rapid prototyping and iteration, Interactive AI applications, Batch image processing | relatedGroups=flux-2-klein, qwen-image-2512, flux | configKeys=z-image-turbo; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-15 nearby=flux-dev; relation=same-type-neighbor; group=flux; size=Dev (Quality)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=4; term-overlap-b=4; source=flux-dev; description=Best quality; Excellent text rendering and composition;; useCases=High-quality image generation; Text rendering in images; Creative art and illustration; Brand asset creation; config=id=flux-dev | name=Flux Dev | displayName=Flux | sizeVariant=Dev (Quality) | templateName=comfyui-flux | dockerImageBaseName=comfyui-flux | dockerImageTag=flux-dev | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/flux/flux-dev-example.json | modelSize=medium | popularity=9 | modelGroup=flux | groupPopularity=95 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux | resolvedConfig.dockerImageBaseName=comfyui-flux | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux | modelType=image | h1=Deploy Flux | aboutBlurb=Flux is Black Forest Labs' flagship image generation family; Flux Dev delivers the best quality with excellent text rendering, while Flux Schnell offers fast 4-step generation; Flux Krea provides a natural aesthetic without the typical AI look; | useCases=High-quality image generation, Text rendering in images, Creative art and illustration, Brand asset creation | relatedGroups=flux-kontext, flux-2, flux-2-klein, qwen-image-2512 | configKeys=flux-dev, flux-schnell, flux-krea-dev; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-16 nearby=z-anime; relation=same-type-neighbor; group=z-image; size=Distill 4-step/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-zimage; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=1; source=z-anime; description=SeeSee21 anime fine-tune of Z-Image (6B, Apache-2.0); 4-step distill at fp8, ~3-4s per 1024x1024 image on an L4; Natural-language prompting (no booru tags);; useCases=; config=id=z-anime | name=Z-Anime (4-step distill) | displayName=Z Anime | sizeVariant=Distill 4-step | templateName=comfyui-zimage | dockerImageBaseName=comfyui | dockerImageTag=z-image-turbo | workflowUrl=https://huggingface.co/SeeSee21/Z-Anime/resolve/main/workflows/Z-Anime-Workflow-v1.json | modelSize=medium | popularity=9 | modelGroup=z-image | groupPopularity=100 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-zimage | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-17 nearby=flux-schnell; relation=same-type-neighbor; group=flux; size=Schnell (Fast)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=4; term-overlap-b=4; source=flux-schnell; description=Fast 4-step Flux; Good quality with quick generation;; useCases=High-quality image generation; Text rendering in images; Creative art and illustration; Brand asset creation; config=id=flux-schnell | name=Flux Schnell | displayName=Flux | sizeVariant=Schnell (Fast) | templateName=comfyui-flux | dockerImageBaseName=comfyui-flux | dockerImageTag=flux-dev | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/flux/flux-schnell-example.json | modelSize=medium | popularity=8 | modelGroup=flux | groupPopularity=95 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux | resolvedConfig.dockerImageBaseName=comfyui-flux | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux | modelType=image | h1=Deploy Flux | aboutBlurb=Flux is Black Forest Labs' flagship image generation family; Flux Dev delivers the best quality with excellent text rendering, while Flux Schnell offers fast 4-step generation; Flux Krea provides a natural aesthetic without the typical AI look; | useCases=High-quality image generation, Text rendering in images, Creative art and illustration, Brand asset creation | relatedGroups=flux-kontext, flux-2, flux-2-klein, qwen-image-2512 | configKeys=flux-dev, flux-schnell, flux-krea-dev; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-18 nearby=flux2-dev; relation=same-type-neighbor; group=flux2; size=Dev Full (64GB)/xlarge; instance=gpu-a100-80gb; hourly=1.39; monthly=1000.8; delta-vs-hidream-i1-dev-fp8=0.9; delta-vs-hidream-i1-full-fp8=0.9; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=flux2-dev; description=Full 32B model; Requires 48GB+ VRAM (H100); Maximum quality and fidelity;; useCases=Multi-image editing workflows; Professional image generation; Fine-grained image control; Production-quality outputs; config=id=flux2-dev | name=FLUX.2 Dev Full | displayName=FLUX.2 | sizeVariant=Dev Full (64GB) | templateName=comfyui-flux2 | dockerImageBaseName=comfyui | dockerImageTag=flux2 | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/flux2/ | modelSize=xlarge | popularity=8 | modelGroup=flux2 | groupPopularity=98 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux2 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=xlarge | recommendedInstance.id=gpu-a100-80gb | recommendedInstance.name=GPU Very High VRAM (A100 80GB) | recommendedInstance.suitableFor=70B+ LLMs, Complex Workflows, Fine-tuning | recommendedInstance.vCPU=8 | recommendedInstance.ram=117 | recommendedInstance.disk=300 | recommendedInstance.gpuType=NVIDIA A100 80GB PCIe | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-very-high-vram | recommendedInstance.deployCost=1.39; seo=slug=flux-2 | modelType=image | h1=Deploy FLUX.2 | aboutBlurb=FLUX.2 is Black Forest Labs' 32B parameter model with multi-image editing capabilities; The Dev FP8 variant runs on RTX 4090/5090, while the full model requires 48GB+ VRAM for maximum quality; | useCases=Multi-image editing workflows, Professional image generation, Fine-grained image control, Production-quality outputs | relatedGroups=flux-2-klein, flux, hidream-i1 | configKeys=flux2-dev-fp8, flux2-dev, flux2-dev-q4; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-19 nearby=flux2-dev-q4; relation=same-type-neighbor; group=flux2; size=Dev Q4 (Low VRAM)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=flux2-dev-q4; description=Quantized for consumer GPUs; 20GB model, runs on RTX 3090/4080;; useCases=Multi-image editing workflows; Professional image generation; Fine-grained image control; Production-quality outputs; config=id=flux2-dev-q4 | name=FLUX.2 Dev Q4 GGUF | displayName=FLUX.2 | sizeVariant=Dev Q4 (Low VRAM) | templateName=comfyui-flux2 | dockerImageBaseName=comfyui | dockerImageTag=flux2 | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/flux2/ | modelSize=medium | popularity=7 | modelGroup=flux2 | groupPopularity=98 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux2 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux-2 | modelType=image | h1=Deploy FLUX.2 | aboutBlurb=FLUX.2 is Black Forest Labs' 32B parameter model with multi-image editing capabilities; The Dev FP8 variant runs on RTX 4090/5090, while the full model requires 48GB+ VRAM for maximum quality; | useCases=Multi-image editing workflows, Professional image generation, Fine-grained image control, Production-quality outputs | relatedGroups=flux-2-klein, flux, hidream-i1 | configKeys=flux2-dev-fp8, flux2-dev, flux2-dev-q4; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-20 nearby=stable-diffusion-xl; relation=same-type-neighbor; group=stable-diffusion; size=XL/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=stable-diffusion-xl; description=Most fine-tunes and LoRAs available; 1024x1024;; useCases=LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem; config=id=stable-diffusion-xl | name=Stable Diffusion XL | displayName=Stable Diffusion | sizeVariant=XL | templateName=comfyui-dynamic | dockerImageBaseName=comfyui | dockerImageTag=dynamic | modelSize=medium | popularity=7 | modelGroup=stable-diffusion | groupPopularity=90 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-dynamic | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=stable-diffusion | modelType=image | h1=Deploy Stable Diffusion | aboutBlurb=Stable Diffusion by Stability AI is the most widely adopted image generation family with the largest ecosystem of fine-tunes and LoRAs; SDXL generates 1024x1024 images, while SD 3.5 offers improved text rendering; | useCases=LoRA and fine-tune deployment, Custom model training base, Established workflow integration, Community model ecosystem | relatedGroups=flux, qwen-image-2512, z-image-turbo | configKeys=stable-diffusion-xl, stable-diffusion-35-large, stable-diffusion-35-medium, stable-diffusion-35-turbo, stable-diffusion-1.5; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-21 nearby=flux2-klein-9b; relation=same-type-neighbor; group=flux2-klein; size=9B Base (Undistilled)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=4; term-overlap-b=4; source=flux2-klein-9b; description=Base model for fine-tuning and LoRA training; More steps but higher quality ceiling;; useCases=Sub-second image generation; Real-time AI applications; Consumer GPU deployment; Open-source commercial use (Apache 2.0); config=id=flux2-klein-9b | name=FLUX.2 Klein 9B Base | displayName=FLUX.2 Klein | sizeVariant=9B Base (Undistilled) | templateName=comfyui-flux2 | dockerImageBaseName=comfyui | dockerImageTag=flux2 | workflowUrl=https://docs.comfy.org/tutorials/flux/flux-2-klein | modelSize=medium | popularity=6 | modelGroup=flux2-klein | groupPopularity=99 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux2 | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux-2-klein | modelType=image | h1=Deploy FLUX.2 Klein | aboutBlurb=FLUX.2 Klein is the fastest model in the Flux family; The 9B FP8 variant delivers sub-second generation in 4 steps, while the 4B model is fully open source under Apache 2.0 and runs on consumer GPUs; | useCases=Sub-second image generation, Real-time AI applications, Consumer GPU deployment, Open-source commercial use (Apache 2.0) | relatedGroups=flux-2, z-image-turbo, flux | configKeys=flux2-klein-9b-fp8, flux2-klein-4b, flux2-klein-9b; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-22 nearby=flux-krea-dev; relation=same-type-neighbor; group=flux; size=Krea (Natural)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=4; term-overlap-b=4; source=flux-krea-dev; description=Natural aesthetic without typical AI look;; useCases=High-quality image generation; Text rendering in images; Creative art and illustration; Brand asset creation; config=id=flux-krea-dev | name=Flux Krea | displayName=Flux | sizeVariant=Krea (Natural) | templateName=comfyui-flux | dockerImageBaseName=comfyui-flux | dockerImageTag=flux-dev | workflowUrl=https://comfyanonymous.github.io/ComfyUI_examples/flux/flux-dev-example.json | modelSize=medium | popularity=5 | modelGroup=flux | groupPopularity=95 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-flux | resolvedConfig.dockerImageBaseName=comfyui-flux | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=flux | modelType=image | h1=Deploy Flux | aboutBlurb=Flux is Black Forest Labs' flagship image generation family; Flux Dev delivers the best quality with excellent text rendering, while Flux Schnell offers fast 4-step generation; Flux Krea provides a natural aesthetic without the typical AI look; | useCases=High-quality image generation, Text rendering in images, Creative art and illustration, Brand asset creation | relatedGroups=flux-kontext, flux-2, flux-2-klein, qwen-image-2512 | configKeys=flux-dev, flux-schnell, flux-krea-dev; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-23 nearby=stable-diffusion-35-medium; relation=same-type-neighbor; group=stable-diffusion; size=Medium/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=stable-diffusion-35-medium; description=Good balance of quality and speed;; useCases=LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem; config=id=stable-diffusion-35-medium | name=Stable Diffusion 3.5 Medium | displayName=Stable Diffusion 3.5 | sizeVariant=Medium | templateName=comfyui-dynamic | dockerImageBaseName=comfyui | dockerImageTag=dynamic | modelSize=medium | popularity=4 | modelGroup=stable-diffusion | groupPopularity=90 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-dynamic | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=stable-diffusion | modelType=image | h1=Deploy Stable Diffusion | aboutBlurb=Stable Diffusion by Stability AI is the most widely adopted image generation family with the largest ecosystem of fine-tunes and LoRAs; SDXL generates 1024x1024 images, while SD 3.5 offers improved text rendering; | useCases=LoRA and fine-tune deployment, Custom model training base, Established workflow integration, Community model ecosystem | relatedGroups=flux, qwen-image-2512, z-image-turbo | configKeys=stable-diffusion-xl, stable-diffusion-35-large, stable-diffusion-35-medium, stable-diffusion-35-turbo, stable-diffusion-1.5; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
- hidream-i1-dev-fp8__hidream-i1-full-fp8 catalog-rank-24 nearby=stable-diffusion-35-turbo; relation=same-type-neighbor; group=stable-diffusion; size=Turbo/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-hidream-i1-dev-fp8=-0.1; delta-vs-hidream-i1-full-fp8=-0.1; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=3; term-overlap-b=3; source=stable-diffusion-35-turbo; description=Fast SD 3.5 for quick iterations;; useCases=LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem; config=id=stable-diffusion-35-turbo | name=Stable Diffusion 3.5 Turbo | displayName=Stable Diffusion 3.5 | sizeVariant=Turbo | templateName=comfyui-dynamic | dockerImageBaseName=comfyui | dockerImageTag=dynamic | modelSize=medium | popularity=3 | modelGroup=stable-diffusion | groupPopularity=90 | defaultConfig.templateName=comfyui-flux | defaultConfig.dockerImageBaseName=comfyui-flux | defaultConfig.containerPort=8188 | defaultConfig.volumeMountPath=/data | defaultConfig.modelSize=medium | resolvedConfig.templateName=comfyui-dynamic | resolvedConfig.dockerImageBaseName=comfyui | resolvedConfig.containerPort=8188 | resolvedConfig.volumeMountPath=/data | resolvedConfig.modelSize=medium | recommendedInstance.id=gpu-l4 | recommendedInstance.name=GPU Efficient (L4) | recommendedInstance.suitableFor=7B-13B LLMs, SDXL Images, Power Efficient | recommendedInstance.vCPU=12 | recommendedInstance.ram=50 | recommendedInstance.disk=200 | recommendedInstance.gpuType=NVIDIA L4 | recommendedInstance.gpuCount=1 | recommendedInstance.type=gpu-efficient | recommendedInstance.deployCost=0.39; seo=slug=stable-diffusion | modelType=image | h1=Deploy Stable Diffusion | aboutBlurb=Stable Diffusion by Stability AI is the most widely adopted image generation family with the largest ecosystem of fine-tunes and LoRAs; SDXL generates 1024x1024 images, while SD 3.5 offers improved text rendering; | useCases=LoRA and fine-tune deployment, Custom model training base, Established workflow integration, Community model ecosystem | relatedGroups=flux, qwen-image-2512, z-image-turbo | configKeys=stable-diffusion-xl, stable-diffusion-35-large, stable-diffusion-35-medium, stable-diffusion-35-turbo, stable-diffusion-1.5; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
FAQ
What GPU runs hidream-i1-dev-fp8 in the hidream-i1-dev-fp8 vs hidream-i1-full-fp8 comparison?
For hidream-i1-dev-fp8 vs hidream-i1-full-fp8, hidream-i1-dev-fp8 uses GPU High VRAM (A6000) with 48GB VRAM at $0.49/hr.
What GPU runs hidream-i1-full-fp8 in the hidream-i1-dev-fp8 vs hidream-i1-full-fp8 comparison?
For hidream-i1-dev-fp8 vs hidream-i1-full-fp8, hidream-i1-full-fp8 uses GPU High VRAM (A6000) with 48GB VRAM at $0.49/hr.
Which is cheaper to run 24/7 for hidream-i1-dev-fp8 vs hidream-i1-full-fp8?
For hidream-i1-dev-fp8 vs hidream-i1-full-fp8, hidream-i1-dev-fp8 is cheaper at $352.80/month vs $352.80/month.