Qwen Image 2512 (Latest) vs Z Image Turbo
Last data update: 2026-06-11T22:17:24.345Z
Intent: image-same-category-deployment-comparison
Quality gate
- Eligible for indexable canary
- yes
- Evidence score
- 7
| Check | Pass | Evidence |
|---|---|---|
| same-type intent | yes | image vs image |
| distinct models | yes | qwen-image-2512 vs z-image-turbo |
| pricing present | yes | $0.49/hr and $0.39/hr |
| deployment target present | yes | gpu-a6000 and gpu-l4 |
| source config facts present | yes | 39 facts and 39 facts |
| same-type catalog context present | yes | 27 image catalog rows |
| asset evidence when workflow model | yes | 40 matched asset rows |
Evidence summary
- qwen-image-2512__z-image-turbo intent: image-same-category-deployment-comparison; this pair is compared as a same-type deployment decision, not as an arbitrary generated adjacency;
- qwen-image-2512__z-image-turbo cost profile: qwen-image-2512 costs $0.49/hr and $352.8/mo at 720h; z-image-turbo costs $0.39/hr and $280.8/mo at 720h;
- qwen-image-2512__z-image-turbo instance profile: qwen-image-2512=gpu-a6000 large comfyui-qwen-image-2512; z-image-turbo=gpu-l4 medium comfyui-zimage;
- qwen-image-2512__z-image-turbo description comparison: qwen-image-2512=#1 open-source model; Superior text rendering, realistic humans;; z-image-turbo=Fast distilled model; Sub-second generation on H800;
- qwen-image-2512__z-image-turbo group evidence: qwen-image-2512=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;; z-image-turbo=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;
- qwen-image-2512__z-image-turbo nearby catalog count: 27 image models were available for internal context during page selection;
- qwen-image-2512__z-image-turbo matched deployment assets: z_image_turbo-Q3_K_M.gguf, z_image_turbo-Q4_K_M.gguf, z_image_turbo-Q5_K_M.gguf, z_image_turbo-Q8_0.gguf, qwen_3_4b.safetensors, qwen_image_bf16.safetensors, qwen_image_edit_2509_bf16.safetensors, qwen_image_edit_2509_fp8_e4m3fn.safetensors;
| Qwen Image 2512 (Latest) | Z Image Turbo | |
|---|---|---|
| Model group | qwen-image | z-image |
| Type | image | image |
| Source id | qwen-image-2512 | z-image-turbo |
| Model size tier | large | medium |
| Deployment template | comfyui-qwen-image-2512 | comfyui-zimage |
| Docker image base | comfyui | comfyui |
| Container port | 8188 | 8188 |
| Web UI port | n/a | n/a |
| Volume mount path | /data | /data |
| Parameters | n/a | n/a |
| Context window | n/a | n/a |
| VRAM (GB) | 48 | 24 |
| Recommended GPU | gpu-a6000 | gpu-l4 |
| GPU type | NVIDIA RTX A6000 | NVIDIA L4 |
| GPU count | 1 | 1 |
| vCPU | 9 | 12 |
| RAM (GB) | 50 | 50 |
| Disk (GB) | 200 | 200 |
| Instance type | gpu-high-vram-value | gpu-efficient |
| RunPod id | n/a | n/a |
| $/hr | $0.49 | $0.39 |
| $/month (24/7) | $352.8 | $280.8 |
| Popularity (1-10) | 11 | 10 |
| Deploy time (min) | 18 | 18 |
- Cost delta /hr
- $-0.1
- VRAM delta GB
- -24
- Best GPU tier to fit both
- gpu-a6000
Cost scenarios
| Usage level | Hours / month | qwen-image-2512 | z-image-turbo | Delta |
|---|---|---|---|---|
| Prototype, 40 hr/mo | 40 | $19.6 | $15.6 | $-4 |
| Part-time app, 160 hr/mo | 160 | $78.4 | $62.4 | $-16 |
| Always-on, 720 hr/mo | 720 | $352.8 | $280.8 | $-72 |
Decision matrix
| Factor | qwen-image-2512 | z-image-turbo | Winner |
|---|---|---|---|
| Lower hourly cost | $0.49/hr | $0.39/hr | z-image-turbo |
| Lower 24/7 monthly cost | $352.8/mo | $280.8/mo | z-image-turbo |
| Lower VRAM tier | 48GB | 24GB | z-image-turbo |
| Higher popularity score | 11/10 | 10/10 | qwen-image-2512 |
| Faster deployment estimate | 18 min | 18 min | qwen-image-2512 |
| Template specificity | comfyui-qwen-image-2512 | comfyui-zimage | qwen-image-2512 |
Pair config delta
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__slug; qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo; comparison=different value; source=adapter identity
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__sourceId; qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo; comparison=different value; source=modelConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__displayName; qwen-image-2512=Qwen Image; z-image-turbo=Z Image; comparison=different value; source=modelConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__sizeVariant; qwen-image-2512=2512 (Latest); z-image-turbo=Turbo; comparison=different value; source=modelConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__modelGroup; qwen-image-2512=qwen-image; z-image-turbo=z-image; comparison=different value; source=modelConfig.js / modelSeoData.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__type; qwen-image-2512=image; z-image-turbo=image; comparison=same value; source=modelConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__modelSize; qwen-image-2512=large; z-image-turbo=medium; comparison=different value; source=resolved model config
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__templateName; qwen-image-2512=comfyui-qwen-image-2512; z-image-turbo=comfyui-zimage; comparison=different value; source=resolved model config
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__dockerImageBaseName; qwen-image-2512=comfyui; z-image-turbo=comfyui; comparison=same value; source=resolved model config
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__containerPort; qwen-image-2512=8188; z-image-turbo=8188; comparison=same numeric value; source=resolved deployment config
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__webUIPort; qwen-image-2512=not-specified; z-image-turbo=not-specified; comparison=same value; source=resolved deployment config
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__volumeMountPath; qwen-image-2512=/data; z-image-turbo=/data; comparison=same value; source=resolved deployment config
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__recommendedInstance; qwen-image-2512=gpu-a6000; z-image-turbo=gpu-l4; comparison=different value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__recommendedInstanceName; qwen-image-2512=GPU High VRAM (A6000); z-image-turbo=GPU Efficient (L4); comparison=different value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__recommendedInstanceSpecs; qwen-image-2512=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; z-image-turbo=7B-13B LLMs, SDXL Images, Power Efficient; comparison=different value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__gpuType; qwen-image-2512=NVIDIA RTX A6000; z-image-turbo=NVIDIA L4; comparison=different value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__gpuCount; qwen-image-2512=1; z-image-turbo=1; comparison=same numeric value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__vramGB; qwen-image-2512=48; z-image-turbo=24; comparison=modelA higher by 24; source=instanceConfig.js derived fit
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__vCPU; qwen-image-2512=9; z-image-turbo=12; comparison=modelB higher by 3; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__ramGB; qwen-image-2512=50; z-image-turbo=50; comparison=same numeric value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__diskGB; qwen-image-2512=200; z-image-turbo=200; comparison=same numeric value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__instanceType; qwen-image-2512=gpu-high-vram-value; z-image-turbo=gpu-efficient; comparison=different value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__runpodInstanceId; qwen-image-2512=not-specified; z-image-turbo=not-specified; comparison=same value; source=instanceConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__hourlyCost; qwen-image-2512=0.49; z-image-turbo=0.39; comparison=modelA higher by 0.09999999999999998; source=instanceConfig.js deployCost
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__monthlyCost720h; qwen-image-2512=352.8; z-image-turbo=280.8; comparison=modelA higher by 72; source=derived from hourly cost
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__deployTimeMinutes; qwen-image-2512=18; z-image-turbo=18; comparison=same numeric value; source=adapter estimate
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__popularity; qwen-image-2512=11; z-image-turbo=10; comparison=modelA higher by 1; source=modelConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__groupPopularity; qwen-image-2512=105; z-image-turbo=100; comparison=modelA higher by 5; source=modelConfig.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__paramCount; qwen-image-2512=not-specified; z-image-turbo=not-specified; comparison=same value; source=parsed from model metadata
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__contextWindow; qwen-image-2512=not-specified; z-image-turbo=not-specified; comparison=same value; source=parsed from model metadata
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__description; qwen-image-2512=#1 open-source model; Superior text rendering, realistic humans;; z-image-turbo=Fast distilled model; Sub-second generation on H800;; comparison=different value; source=modelConfig.js / modelSeoData.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__useCases; qwen-image-2512=Marketing and advertising visuals; Product photography; Text-heavy graphic design; Realistic portrait generation; z-image-turbo=Real-time image generation; Rapid prototyping and iteration; Interactive AI applications; Batch image processing; comparison=different value; source=modelSeoData.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__relatedGroups; qwen-image-2512=flux-2-klein; z-image-turbo; flux; z-image-turbo=flux-2-klein; qwen-image-2512; flux; comparison=different value; source=modelSeoData.js
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__sourceFiles; qwen-image-2512=src/config/modelConfig.js; src/config/modelSeoData.js; src/config/instanceConfig.js; z-image-turbo=src/config/modelConfig.js; src/config/modelSeoData.js; src/config/instanceConfig.js; comparison=same value; source=snapshot sync
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__aboutBlurb; qwen-image-2512=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;; z-image-turbo=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;; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__configKeys; qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__defaultConfig.containerPort; qwen-image-2512=8188; z-image-turbo=8188; comparison=same numeric value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__defaultConfig.dockerImageBaseName; qwen-image-2512=comfyui-flux; z-image-turbo=comfyui-flux; comparison=same value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__defaultConfig.modelSize; qwen-image-2512=medium; z-image-turbo=medium; comparison=same value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__defaultConfig.templateName; qwen-image-2512=comfyui-flux; z-image-turbo=comfyui-flux; comparison=same value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__defaultConfig.volumeMountPath; qwen-image-2512=/data; z-image-turbo=/data; comparison=same value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__displayName; qwen-image-2512=Qwen Image; z-image-turbo=Z Image; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__dockerImageBaseName; qwen-image-2512=comfyui; z-image-turbo=comfyui; comparison=same value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__dockerImageTag; qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__groupPopularity; qwen-image-2512=105; z-image-turbo=100; comparison=modelA higher by 5; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__h1; qwen-image-2512=Deploy Qwen-Image-2512; z-image-turbo=Deploy Z Image Turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__id; qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__modelGroup; qwen-image-2512=qwen-image; z-image-turbo=z-image; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__modelSize; qwen-image-2512=large; z-image-turbo=medium; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__modelType; qwen-image-2512=image; z-image-turbo=image; comparison=same value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__name; qwen-image-2512=Qwen-Image-2512; z-image-turbo=Z Image Turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__popularity; qwen-image-2512=11; z-image-turbo=10; comparison=modelA higher by 1; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.deployCost; qwen-image-2512=0.49; z-image-turbo=0.39; comparison=modelA higher by 0.09999999999999998; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.disk; qwen-image-2512=200; z-image-turbo=200; comparison=same numeric value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.gpuCount; qwen-image-2512=1; z-image-turbo=1; comparison=same numeric value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.gpuType; qwen-image-2512=NVIDIA RTX A6000; z-image-turbo=NVIDIA L4; comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.id; qwen-image-2512=gpu-a6000; z-image-turbo=gpu-l4; comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.name; qwen-image-2512=GPU High VRAM (A6000); z-image-turbo=GPU Efficient (L4); comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.ram; qwen-image-2512=50; z-image-turbo=50; comparison=same numeric value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.suitableFor; qwen-image-2512=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; z-image-turbo=7B-13B LLMs, SDXL Images, Power Efficient; comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.type; qwen-image-2512=gpu-high-vram-value; z-image-turbo=gpu-efficient; comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__recommendedInstance.vCPU; qwen-image-2512=9; z-image-turbo=12; comparison=modelB higher by 3; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__relatedGroups; qwen-image-2512=flux-2-klein, z-image-turbo, flux; z-image-turbo=flux-2-klein, qwen-image-2512, flux; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__resolvedConfig.containerPort; qwen-image-2512=8188; z-image-turbo=8188; comparison=same numeric value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__resolvedConfig.dockerImageBaseName; qwen-image-2512=comfyui; z-image-turbo=comfyui; comparison=same value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__resolvedConfig.modelSize; qwen-image-2512=large; z-image-turbo=medium; comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__resolvedConfig.templateName; qwen-image-2512=comfyui-qwen-image-2512; z-image-turbo=comfyui-zimage; comparison=different value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__resolvedConfig.volumeMountPath; qwen-image-2512=/data; z-image-turbo=/data; comparison=same value; source=resolved config snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__sizeVariant; qwen-image-2512=2512 (Latest); z-image-turbo=Turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__slug; qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__templateName; qwen-image-2512=comfyui-qwen-image-2512; z-image-turbo=comfyui-zimage; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__useCases; qwen-image-2512=Marketing and advertising visuals, Product photography, Text-heavy graphic design, Realistic portrait generation; z-image-turbo=Real-time image generation, Rapid prototyping and iteration, Interactive AI applications, Batch image processing; comparison=different value; source=model config or SEO snapshot
- qwen-image-2512__z-image-turbo field=qwen-image-2512__z-image-turbo__fact__workflowUrl; qwen-image-2512=https://comfyanonymous.github.io/ComfyUI_examples/qwen_image/; z-image-turbo=https://comfyanonymous.github.io/ComfyUI_examples/z_image/; comparison=different value; source=model config or SEO snapshot
Description comparison
| Field | qwen-image-2512 | z-image-turbo |
|---|---|---|
| Description | #1 open-source model; Superior text rendering, realistic humans; | Fast distilled model; Sub-second generation on H800; |
| Use cases | Marketing and advertising visuals; Product photography; Text-heavy graphic design; Realistic portrait generation | Real-time image generation; Rapid prototyping and iteration; Interactive AI applications; Batch image processing |
| Related groups | flux-2-klein; z-image-turbo; flux | flux-2-klein; qwen-image-2512; flux |
Deployment facts
- qwen-image-2512__z-image-turbo source id comparison: qwen-image-2512=qwen-image-2512; z-image-turbo=z-image-turbo;
- qwen-image-2512__z-image-turbo template comparison: qwen-image-2512 uses comfyui-qwen-image-2512 with comfyui; z-image-turbo uses comfyui-zimage with comfyui;
- qwen-image-2512__z-image-turbo instance comparison: qwen-image-2512 runs on GPU High VRAM (A6000) at $0.49/hr and 48GB VRAM; z-image-turbo runs on GPU Efficient (L4) at $0.39/hr and 24GB VRAM;
- qwen-image-2512__z-image-turbo fit notes: qwen-image-2512=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM; z-image-turbo=7B-13B LLMs, SDXL Images, Power Efficient;
- qwen-image-2512__z-image-turbo use case comparison: qwen-image-2512=Marketing and advertising visuals; Product photography; Text-heavy graphic design; Realistic portrait generation; z-image-turbo=Real-time image generation; Rapid prototyping and iteration; Interactive AI applications; Batch image processing;
- qwen-image-2512__z-image-turbo source files: qwen-image-2512=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js; z-image-turbo=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js;
Deployment payload fields
qwen-image-2512__z-image-turbo.candidate_a.modelType=image qwen-image-2512__z-image-turbo.candidate_a.modelName=qwen-image-2512 qwen-image-2512__z-image-turbo.candidate_a.instanceId=gpu-a6000 qwen-image-2512__z-image-turbo.candidate_a.templateName=comfyui-qwen-image-2512 qwen-image-2512__z-image-turbo.candidate_a.containerPort=default qwen-image-2512__z-image-turbo.candidate_a.dockerImageBaseName=comfyui qwen-image-2512__z-image-turbo.candidate_b.modelType=image qwen-image-2512__z-image-turbo.candidate_b.modelName=z-image-turbo qwen-image-2512__z-image-turbo.candidate_b.instanceId=gpu-l4 qwen-image-2512__z-image-turbo.candidate_b.templateName=comfyui-zimage qwen-image-2512__z-image-turbo.candidate_b.containerPort=default qwen-image-2512__z-image-turbo.candidate_b.dockerImageBaseName=comfyui
Matched model assets
- qwen-image-2512__z-image-turbo asset-1 filename=z_image_turbo-Q3_K_M.gguf; size=4.12GB; type=unet_gguf; destination=unet; repository=jayn7/Z-Image-Turbo-GGUF; host=huggingface.co; url=https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q3_K_M.gguf
- qwen-image-2512__z-image-turbo asset-2 filename=z_image_turbo-Q4_K_M.gguf; size=5.33GB; type=unet_gguf; destination=unet; repository=jayn7/Z-Image-Turbo-GGUF; host=huggingface.co; url=https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q4_K_M.gguf
- qwen-image-2512__z-image-turbo asset-3 filename=z_image_turbo-Q5_K_M.gguf; size=6.43GB; type=unet_gguf; destination=unet; repository=jayn7/Z-Image-Turbo-GGUF; host=huggingface.co; url=https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q5_K_M.gguf
- qwen-image-2512__z-image-turbo asset-4 filename=z_image_turbo-Q8_0.gguf; size=8.31GB; type=unet_gguf; destination=unet; repository=jayn7/Z-Image-Turbo-GGUF; host=huggingface.co; url=https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q8_0.gguf
- qwen-image-2512__z-image-turbo asset-5 filename=qwen_3_4b.safetensors; size=8.04GB; type=clip; destination=text_encoders; repository=Comfy-Org/z_image_turbo; host=huggingface.co; url=https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/text_encoders/qwen_3_4b.safetensors
- qwen-image-2512__z-image-turbo asset-6 filename=qwen_image_bf16.safetensors; size=21.4GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_bf16.safetensors
- qwen-image-2512__z-image-turbo asset-7 filename=qwen_image_edit_2509_bf16.safetensors; size=38.05GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_bf16.safetensors
- qwen-image-2512__z-image-turbo asset-8 filename=qwen_image_edit_2509_fp8_e4m3fn.safetensors; size=19.03GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8_e4m3fn.safetensors
- qwen-image-2512__z-image-turbo asset-9 filename=qwen_image_edit_2509_fp8mixed.safetensors; size=19.12GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2509_fp8mixed.safetensors
- qwen-image-2512__z-image-turbo asset-10 filename=qwen_image_edit_2511_bf16.safetensors; size=21.4GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2511_bf16.safetensors
- qwen-image-2512__z-image-turbo asset-11 filename=qwen_image_edit_2511_fp8_e4m3fn.safetensors; size=20.4GB; type=unet; destination=diffusion_models; repository=drbaph/Qwen-Image-Edit-2511-FP8; host=huggingface.co; url=https://huggingface.co/drbaph/Qwen-Image-Edit-2511-FP8/resolve/main/qwen_image_edit_2511_fp8_e4m3fn.safetensors
- qwen-image-2512__z-image-turbo asset-12 filename=qwen_image_edit_2511_fp8mixed.safetensors; size=19.12GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2511_fp8mixed.safetensors
- qwen-image-2512__z-image-turbo asset-13 filename=qwen_image_edit_fp8_e4m3fn.safetensors; size=10.7GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_fp8_e4m3fn.safetensors
- qwen-image-2512__z-image-turbo asset-14 filename=qwen_image_fp8_e4m3fn.safetensors; size=10.7GB; type=unet; destination=diffusion_models; repository=Comfy-Org/Qwen-Image_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_fp8_e4m3fn.safetensors
- qwen-image-2512__z-image-turbo asset-15 filename=qwen_image_vae.safetensors; size=335MB; type=vae; destination=vae; repository=Comfy-Org/Qwen-Image_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors
- qwen-image-2512__z-image-turbo asset-16 filename=z_image_turbo_bf16.safetensors; size=12.3GB; type=unet; destination=diffusion_models; repository=Comfy-Org/z_image_turbo; host=huggingface.co; url=https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_bf16.safetensors
- qwen-image-2512__z-image-turbo asset-17 filename=z_image_turbo_fp8.safetensors; size=6.15GB; type=unet; destination=diffusion_models; repository=Comfy-Org/z_image_turbo; host=huggingface.co; url=https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/diffusion_models/z_image_turbo_fp8.safetensors
- qwen-image-2512__z-image-turbo asset-18 filename=z_image_turbo-vae.safetensors; size=335MB; type=vae; destination=vae; repository=Comfy-Org/z_image_turbo; host=huggingface.co; url=https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors
- qwen-image-2512__z-image-turbo asset-19 filename=Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.safetensors; size=6.71GB; type=controlnet; destination=controlnet; repository=alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1; host=huggingface.co; url=https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1/resolve/main/Z-Image-Turbo-Fun-Controlnet-Tile-2.1-8steps.safetensors
- qwen-image-2512__z-image-turbo asset-20 filename=z-image-turbo-fun-controlnet-union-2.1-8steps.safetensors; size=6.71GB; type=model_patches; destination=model_patches; repository=alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1; host=huggingface.co; url=https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union-2.1-8steps.safetensors
- qwen-image-2512__z-image-turbo asset-21 filename=Z-Image-Turbo-Fun-Controlnet-Union-2.1.safetensors; size=6.71GB; type=controlnet; destination=controlnet; repository=alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1; host=huggingface.co; url=https://huggingface.co/alibaba-pai/Z-Image-Turbo-Fun-Controlnet-Union-2.1/resolve/main/Z-Image-Turbo-Fun-Controlnet-Union-2.1.safetensors
- qwen-image-2512__z-image-turbo asset-22 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
- qwen-image-2512__z-image-turbo asset-23 filename=qwen_2.5_vl_7b.safetensors; size=16.6GB; 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.safetensors
- qwen-image-2512__z-image-turbo asset-24 filename=Qwen-Edit-2509-Multiple-angles.safetensors; size=225MB; type=lora; destination=loras; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/loras/Qwen-Edit-2509-Multiple-angles.safetensors
- qwen-image-2512__z-image-turbo asset-25 filename=qwen-image edit anything to real characters动漫转真人.safetensors; size=20.4GB; type=lora; destination=loras; repository=zhouwenbin1994/AnythingtoRealCharacters; host=modelscope.cn; url=https://modelscope.cn/models/zhouwenbin1994/AnythingtoRealCharacters/resolve/master/Qwen-image%20Edit%20Anything%20to%20Real%E5%8A%A8%E6%BC%AB%E8%BD%AC%E7%9C%9F%E4%BA%BA.safetensors
- qwen-image-2512__z-image-turbo asset-26 filename=qwen-image edit anything to real动漫转真人.safetensors; size=20.4GB; type=lora; destination=loras; repository=zhouwenbin1994/AnythingtoRealCharacters; host=modelscope.cn; url=https://modelscope.cn/models/zhouwenbin1994/AnythingtoRealCharacters/resolve/master/Qwen-image%20Edit%20Anything%20to%20Real%E5%8A%A8%E6%BC%AB%E8%BD%AC%E7%9C%9F%E4%BA%BA.safetensors
- qwen-image-2512__z-image-turbo asset-27 filename=Qwen-Image-Edit-2509-Anything2RealAlpha.safetensors; size=581MB; type=lora; destination=loras; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/loras/Qwen-Image-Edit-2509-Anything2RealAlpha.safetensors
- qwen-image-2512__z-image-turbo asset-28 filename=Qwen-Image-Edit-2509-Fusion.safetensors; size=225MB; type=lora; destination=loras; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/loras/Qwen-Image-Edit-2509-Fusion.safetensors
- qwen-image-2512__z-image-turbo asset-29 filename=Qwen-Image-Edit-2509-Light-Migration.safetensors; size=225MB; type=lora; destination=loras; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/loras/Qwen-Image-Edit-2509-Light-Migration.safetensors
- qwen-image-2512__z-image-turbo asset-30 filename=Qwen-Image-Edit-2509-Relight.safetensors; size=225MB; type=lora; destination=loras; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/loras/Qwen-Image-Edit-2509-Relight.safetensors
- qwen-image-2512__z-image-turbo asset-31 filename=Qwen-Image-Edit-2509-White_to_Scene.safetensors; size=225MB; type=lora; destination=loras; repository=Comfy-Org/Qwen-Image-Edit_ComfyUI; host=huggingface.co; url=https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/loras/Qwen-Image-Edit-2509-White_to_Scene.safetensors
- qwen-image-2512__z-image-turbo asset-32 filename=Qwen-Image-Edit-2511-Lightning-4steps-V2.0.safetensors; size=849MB; type=lora; destination=loras; repository=lightx2v/Qwen-Image-Edit-2511-Lightning; host=huggingface.co; url=https://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning/resolve/main/Qwen-Image-Edit-2511-Lightning-4steps-V2.0.safetensors
- qwen-image-2512__z-image-turbo asset-33 filename=qwen-image-lightning-4steps-v1.0.safetensors; size=1.5GB; type=lora; destination=loras; repository=lightx2v/Qwen-Image-Lightning; host=huggingface.co; url=https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-4steps-V1.0.safetensors
- qwen-image-2512__z-image-turbo asset-34 filename=qwen-image-lightning-8steps-v1.0.safetensors; size=1.5GB; type=lora; destination=loras; repository=lightx2v/Qwen-Image-Lightning; host=huggingface.co; url=https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V1.0.safetensors
- qwen-image-2512__z-image-turbo asset-35 filename=qwen-image-lightning-8steps-v2.0 bf16.safetensors; size=1.5GB; type=lora; destination=loras; repository=lightx2v/Qwen-Image-Lightning; host=huggingface.co; url=https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors
- qwen-image-2512__z-image-turbo asset-36 filename=qwen-image-lightning-8steps-v2.0-bf16.safetensors; size=1.5GB; type=lora; destination=loras; repository=lightx2v/Qwen-Image-Lightning; host=huggingface.co; url=https://huggingface.co/lightx2v/Qwen-Image-Lightning/resolve/main/Qwen-Image-Lightning-8steps-V2.0-bf16.safetensors
- qwen-image-2512__z-image-turbo asset-37 filename=qwen_3_4b-engineer-v4-fp8.safetensors; size=4.02GB; type=clip; destination=text_encoders; repository=SeeSee21/Z-Anime; host=huggingface.co; url=https://huggingface.co/SeeSee21/Z-Anime/resolve/main/text_encoder/qwen_3_4b-engineer-v4-fp8.safetensors
- qwen-image-2512__z-image-turbo asset-38 filename=qwen_3_8b_fp8mixed.safetensors; size=4.4GB; type=clip; destination=text_encoders; repository=Comfy-Org/flux2-klein; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux2-klein/resolve/main/split_files/text_encoders/qwen_3_8b_fp8mixed.safetensors
- qwen-image-2512__z-image-turbo asset-39 filename=qwen3_4b_fp8_scaled.safetensors; size=4.11GB; type=clip; destination=text_encoders; repository=jiangchengchengNLP/qwen3-4b-fp8-scaled; host=huggingface.co; url=https://huggingface.co/jiangchengchengNLP/qwen3-4b-fp8-scaled/resolve/main/qwen3_4b_fp8_scaled.safetensors
- qwen-image-2512__z-image-turbo asset-40 filename=sd3.5_large_turbo.safetensors; size=16.5GB; type=checkpoint; destination=checkpoints; repository=stabilityai/stable-diffusion-3.5-large-turbo; host=huggingface.co; url=https://huggingface.co/stabilityai/stable-diffusion-3.5-large-turbo/resolve/main/sd3.5_large_turbo.safetensors
Paired source evidence
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=id; value=qwen-image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=name; value=Qwen-Image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=displayName; value=Qwen Image
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=sizeVariant; value=2512 (Latest)
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=templateName; value=comfyui-qwen-image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=dockerImageBaseName; value=comfyui
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=dockerImageTag; value=qwen-image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=modelSize; value=large
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=popularity; value=11
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=modelGroup; value=qwen-image
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=groupPopularity; value=105
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=h1; value=Deploy Qwen-Image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=aboutBlurb; value=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;
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=useCases; value=Marketing and advertising visuals, Product photography, Text-heavy graphic design, Realistic portrait generation
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=relatedGroups; value=flux-2-klein, z-image-turbo, flux
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=configKeys; value=qwen-image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=workflowUrl; value=https://comfyanonymous.github.io/ComfyUI_examples/qwen_image/
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=defaultConfig.templateName; value=comfyui-flux
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=defaultConfig.dockerImageBaseName; value=comfyui-flux
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=defaultConfig.containerPort; value=8188
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=defaultConfig.volumeMountPath; value=/data
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=defaultConfig.modelSize; value=medium
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=resolvedConfig.templateName; value=comfyui-qwen-image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=resolvedConfig.dockerImageBaseName; value=comfyui
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=resolvedConfig.containerPort; value=8188
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=resolvedConfig.volumeMountPath; value=/data
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=resolvedConfig.modelSize; value=large
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.id; value=gpu-a6000
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.name; value=GPU High VRAM (A6000)
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.suitableFor; value=30B+ LLMs (quantized 70B), Video Gen, 48GB VRAM
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.vCPU; value=9
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.ram; value=50
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.disk; value=200
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.gpuType; value=NVIDIA RTX A6000
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.gpuCount; value=1
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.type; value=gpu-high-vram-value
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=recommendedInstance.deployCost; value=0.49
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=slug; value=qwen-image-2512
- qwen-image-2512__z-image-turbo source-model=qwen-image-2512; field=modelType; value=image
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=id; value=z-image-turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=name; value=Z Image Turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=displayName; value=Z Image
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=sizeVariant; value=Turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=templateName; value=comfyui-zimage
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=dockerImageBaseName; value=comfyui
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=dockerImageTag; value=z-image-turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=modelSize; value=medium
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=popularity; value=10
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=modelGroup; value=z-image
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=groupPopularity; value=100
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=h1; value=Deploy Z Image Turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=aboutBlurb; value=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;
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=useCases; value=Real-time image generation, Rapid prototyping and iteration, Interactive AI applications, Batch image processing
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=relatedGroups; value=flux-2-klein, qwen-image-2512, flux
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=configKeys; value=z-image-turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=workflowUrl; value=https://comfyanonymous.github.io/ComfyUI_examples/z_image/
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=defaultConfig.templateName; value=comfyui-flux
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=defaultConfig.dockerImageBaseName; value=comfyui-flux
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=defaultConfig.containerPort; value=8188
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=defaultConfig.volumeMountPath; value=/data
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=defaultConfig.modelSize; value=medium
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=resolvedConfig.templateName; value=comfyui-zimage
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=resolvedConfig.dockerImageBaseName; value=comfyui
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=resolvedConfig.containerPort; value=8188
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=resolvedConfig.volumeMountPath; value=/data
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=resolvedConfig.modelSize; value=medium
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.id; value=gpu-l4
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.name; value=GPU Efficient (L4)
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.suitableFor; value=7B-13B LLMs, SDXL Images, Power Efficient
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.vCPU; value=12
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.ram; value=50
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.disk; value=200
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.gpuType; value=NVIDIA L4
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.gpuCount; value=1
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.type; value=gpu-efficient
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=recommendedInstance.deployCost; value=0.39
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=slug; value=z-image-turbo
- qwen-image-2512__z-image-turbo source-model=z-image-turbo; field=modelType; value=image
Pair-scoped catalog context
- qwen-image-2512__z-image-turbo catalog-rank-1 nearby=qwen-image-2512; relation=selected-model-a; group=qwen-image; size=2512 (Latest)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; template=comfyui-qwen-image-2512; docker=comfyui; template-match-a=yes; template-match-b=no; term-overlap-a=15; 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
- qwen-image-2512__z-image-turbo catalog-rank-2 nearby=z-image-turbo; relation=selected-model-b; group=z-image; size=Turbo/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-zimage; docker=comfyui; template-match-a=no; template-match-b=yes; term-overlap-a=2; term-overlap-b=14; 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
- qwen-image-2512__z-image-turbo catalog-rank-3 nearby=z-anime; relation=same-group-as-z-image-turbo; group=z-image; size=Distill 4-step/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-zimage; docker=comfyui; template-match-a=no; template-match-b=yes; term-overlap-a=1; term-overlap-b=3; 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
- qwen-image-2512__z-image-turbo catalog-rank-4 nearby=qwen-image-edit; relation=same-group-as-qwen-image-2512; group=qwen-image; size=Edit 2511/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; 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
- qwen-image-2512__z-image-turbo catalog-rank-5 nearby=qwen-image-gen; relation=same-group-as-qwen-image-2512; group=qwen-image; size=Generate/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; 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
- qwen-image-2512__z-image-turbo catalog-rank-6 nearby=flux-kontext-dev-fp8; relation=same-deployment-tier; group=flux-kontext; size=Dev FP8 (Character Consistency)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=2; 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
- qwen-image-2512__z-image-turbo catalog-rank-7 nearby=flux2-klein-9b-fp8; relation=same-deployment-tier; group=flux2-klein; size=9B FP8 (Recommended)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=5; 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
- qwen-image-2512__z-image-turbo catalog-rank-8 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-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; 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
- qwen-image-2512__z-image-turbo catalog-rank-9 nearby=flux-dev; relation=same-deployment-tier; group=flux; size=Dev (Quality)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=2; 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
- qwen-image-2512__z-image-turbo catalog-rank-10 nearby=flux-schnell; relation=same-deployment-tier; group=flux; size=Schnell (Fast)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=2; 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
- qwen-image-2512__z-image-turbo catalog-rank-11 nearby=hidream-i1-dev-fp8; relation=same-deployment-tier; group=hidream; size=Dev FP8 (Recommended)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; template=comfyui-hidream; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=3; 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
- qwen-image-2512__z-image-turbo catalog-rank-12 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-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; 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
- qwen-image-2512__z-image-turbo catalog-rank-13 nearby=flux2-dev-q4; relation=same-deployment-tier; group=flux2; size=Dev Q4 (Low VRAM)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; 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
- qwen-image-2512__z-image-turbo catalog-rank-14 nearby=hidream-i1-full-fp8; relation=same-deployment-tier; group=hidream; size=Full FP8/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; template=comfyui-hidream; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=3; 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
- qwen-image-2512__z-image-turbo catalog-rank-15 nearby=stable-diffusion-xl; relation=same-deployment-tier; group=stable-diffusion; size=XL/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=1; 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
- qwen-image-2512__z-image-turbo catalog-rank-16 nearby=flux2-klein-4b; relation=same-deployment-tier; group=flux2-klein; size=4B (Apache 2.0)/small; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=5; 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
- qwen-image-2512__z-image-turbo catalog-rank-17 nearby=flux2-klein-9b; relation=same-deployment-tier; group=flux2-klein; size=9B Base (Undistilled)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux2; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=5; 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
- qwen-image-2512__z-image-turbo catalog-rank-18 nearby=hidream-i1-fast-fp8; relation=same-deployment-tier; group=hidream; size=Fast FP8 (4-step)/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; template=comfyui-hidream; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=2; term-overlap-b=3; 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
- qwen-image-2512__z-image-turbo catalog-rank-19 nearby=sdxl-story; relation=same-deployment-tier; group=story-diffusion; size=large/large; instance=gpu-a6000; hourly=0.49; monthly=352.8; delta-vs-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; 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
- qwen-image-2512__z-image-turbo catalog-rank-20 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-qwen-image-2512=0; delta-vs-z-image-turbo=0.1; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=1; 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
- qwen-image-2512__z-image-turbo catalog-rank-21 nearby=flux-krea-dev; relation=same-deployment-tier; group=flux; size=Krea (Natural)/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=2; 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
- qwen-image-2512__z-image-turbo catalog-rank-22 nearby=stable-diffusion-35-medium; relation=same-deployment-tier; group=stable-diffusion; size=Medium/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=1; 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
- qwen-image-2512__z-image-turbo catalog-rank-23 nearby=stable-diffusion-35-turbo; relation=same-deployment-tier; group=stable-diffusion; size=Turbo/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-dynamic; docker=comfyui; template-match-a=no; template-match-b=no; term-overlap-a=1; term-overlap-b=1; 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
- qwen-image-2512__z-image-turbo catalog-rank-24 nearby=custom-comfyui; relation=same-deployment-tier; group=custom-comfyui; size=medium/medium; instance=gpu-l4; hourly=0.39; monthly=280.8; delta-vs-qwen-image-2512=-0.1; delta-vs-z-image-turbo=0; template=comfyui-flux; docker=comfyui-flux; template-match-a=no; template-match-b=no; term-overlap-a=0; term-overlap-b=0; source=custom-comfyui; description=Deploy ComfyUI with pre-saved workflows or custom node setups; useCases=; config=id=custom-comfyui | name=Custom ComfyUI Workflow | templateName=comfyui-flux | dockerImageBaseName=comfyui-flux | modelSize=medium | isCustom=true | customType=comfyui-workflow | presetWorkflows.0.name=Text-to-Image Basic | presetWorkflows.0.description=Simple text-to-image generation workflow | presetWorkflows.0.url=https://comfyanonymous.github.io/ComfyUI_examples/basic/text_to_image_basic.json | presetWorkflows.1.name=Image-to-Image | presetWorkflows.1.description=Image-to-image transformation workflow | presetWorkflows.1.url=https://comfyanonymous.github.io/ComfyUI_examples/basic/img2img_basic.json | presetWorkflows.2.name=Inpainting | presetWorkflows.2.description=Image inpainting and editing workflow | presetWorkflows.2.url=https://comfyanonymous.github.io/ComfyUI_examples/basic/inpainting_basic.json | presetWorkflows.3.name=ControlNet | presetWorkflows.3.description=Controlled image generation with ControlNet | presetWorkflows.3.url=https://comfyanonymous.github.io/ComfyUI_examples/controlnet/controlnet_basic.json | presetWorkflows.4.name=Custom Upload | presetWorkflows.4.description=Upload your own workflow JSON file | presetWorkflows.4.url=custom-upload | 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; seo=; files=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js
FAQ
What GPU runs qwen-image-2512 in the qwen-image-2512 vs z-image-turbo comparison?
For qwen-image-2512 vs z-image-turbo, qwen-image-2512 uses GPU High VRAM (A6000) with 48GB VRAM at $0.49/hr.
What GPU runs z-image-turbo in the qwen-image-2512 vs z-image-turbo comparison?
For qwen-image-2512 vs z-image-turbo, z-image-turbo uses GPU Efficient (L4) with 24GB VRAM at $0.39/hr.
Which is cheaper to run 24/7 for qwen-image-2512 vs z-image-turbo?
For qwen-image-2512 vs z-image-turbo, z-image-turbo is cheaper at $280.80/month vs $352.80/month.