FLUX.2 Dev Full (64GB) vs Stable Diffusion 1.5 (Legacy)

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	flux2-dev vs stable-diffusion-1.5
pricing present	yes	$1.39/hr and $0.39/hr
deployment target present	yes	gpu-a100-80gb 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	80 matched asset rows

Evidence summary

flux2-dev__stable-diffusion-1.5 intent: image-same-category-deployment-comparison; this pair is compared as a same-type deployment decision, not as an arbitrary generated adjacency;
flux2-dev__stable-diffusion-1.5 cost profile: flux2-dev costs $1.39/hr and $1000.8/mo at 720h; stable-diffusion-1.5 costs $0.39/hr and $280.8/mo at 720h;
flux2-dev__stable-diffusion-1.5 instance profile: flux2-dev=gpu-a100-80gb xlarge comfyui-flux2; stable-diffusion-1.5=gpu-l4 small comfyui-simple-test;
flux2-dev__stable-diffusion-1.5 description comparison: flux2-dev=Full 32B model; Requires 48GB+ VRAM (H100); Maximum quality and fidelity;; stable-diffusion-1.5=Legacy model; Fast and lightweight for testing;
flux2-dev__stable-diffusion-1.5 group evidence: flux2-dev=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;; stable-diffusion-1.5=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;
flux2-dev__stable-diffusion-1.5 nearby catalog count: 27 image models were available for internal context during page selection;
flux2-dev__stable-diffusion-1.5 matched deployment assets: flux2_dev_fp8mixed.safetensors, flux2-dev.safetensors, flux2-dev-Q4_K_M.gguf, flux2-dev-Q5_K_M.gguf, flux2-dev-Q8_0.gguf, flux2-vae.safetensors, mistral_3_small_flux2_bf16.safetensors, mistral_3_small_flux2_fp8.safetensors;

	FLUX.2 Dev Full (64GB)	Stable Diffusion 1.5 (Legacy)
Model group	flux2	stable-diffusion
Type	image	image
Source id	flux2-dev	stable-diffusion-1.5
Model size tier	xlarge	small
Deployment template	comfyui-flux2	comfyui-simple-test
Docker image base	comfyui	comfyui
Container port	8188	8188
Web UI port	n/a	n/a
Volume mount path	/data	/data
Parameters	32B	n/a
Context window	n/a	n/a
VRAM (GB)	80	24
Recommended GPU	gpu-a100-80gb	gpu-l4
GPU type	NVIDIA A100 80GB PCIe	NVIDIA L4
GPU count	1	1
vCPU	8	12
RAM (GB)	117	50
Disk (GB)	300	200
Instance type	gpu-very-high-vram	gpu-efficient
RunPod id	n/a	n/a
$/hr	$1.39	$0.39
$/month (24/7)	$1000.8	$280.8
Popularity (1-10)	8	2
Deploy time (min)	18	18

Cost delta /hr: $-1
VRAM delta GB: -56
Best GPU tier to fit both: gpu-a100-80gb

Cost scenarios

Usage level	Hours / month	flux2-dev	stable-diffusion-1.5	Delta
Prototype, 40 hr/mo	40	$55.6	$15.6	$-40
Part-time app, 160 hr/mo	160	$222.4	$62.4	$-160
Always-on, 720 hr/mo	720	$1000.8	$280.8	$-720

Decision matrix

Factor	flux2-dev	stable-diffusion-1.5	Winner
Lower hourly cost	$1.39/hr	$0.39/hr	stable-diffusion-1.5
Lower 24/7 monthly cost	$1000.8/mo	$280.8/mo	stable-diffusion-1.5
Lower VRAM tier	80GB	24GB	stable-diffusion-1.5
Higher popularity score	8/10	2/10	flux2-dev
Faster deployment estimate	18 min	18 min	flux2-dev
Template specificity	comfyui-flux2	comfyui-simple-test	stable-diffusion-1.5

Pair config delta

flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__slug; flux2-dev=flux2-dev; stable-diffusion-1.5=stable-diffusion-1.5; comparison=different value; source=adapter identity
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__sourceId; flux2-dev=flux2-dev; stable-diffusion-1.5=stable-diffusion-1.5; comparison=different value; source=modelConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__displayName; flux2-dev=FLUX.2; stable-diffusion-1.5=Stable Diffusion; comparison=different value; source=modelConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__sizeVariant; flux2-dev=Dev Full (64GB); stable-diffusion-1.5=1.5 (Legacy); comparison=different value; source=modelConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__modelGroup; flux2-dev=flux2; stable-diffusion-1.5=stable-diffusion; comparison=different value; source=modelConfig.js / modelSeoData.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__type; flux2-dev=image; stable-diffusion-1.5=image; comparison=same value; source=modelConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__modelSize; flux2-dev=xlarge; stable-diffusion-1.5=small; comparison=different value; source=resolved model config
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__templateName; flux2-dev=comfyui-flux2; stable-diffusion-1.5=comfyui-simple-test; comparison=different value; source=resolved model config
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__dockerImageBaseName; flux2-dev=comfyui; stable-diffusion-1.5=comfyui; comparison=same value; source=resolved model config
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__containerPort; flux2-dev=8188; stable-diffusion-1.5=8188; comparison=same numeric value; source=resolved deployment config
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__webUIPort; flux2-dev=not-specified; stable-diffusion-1.5=not-specified; comparison=same value; source=resolved deployment config
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__volumeMountPath; flux2-dev=/data; stable-diffusion-1.5=/data; comparison=same value; source=resolved deployment config
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__recommendedInstance; flux2-dev=gpu-a100-80gb; stable-diffusion-1.5=gpu-l4; comparison=different value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__recommendedInstanceName; flux2-dev=GPU Very High VRAM (A100 80GB); stable-diffusion-1.5=GPU Efficient (L4); comparison=different value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__recommendedInstanceSpecs; flux2-dev=70B+ LLMs, Complex Workflows, Fine-tuning; stable-diffusion-1.5=7B-13B LLMs, SDXL Images, Power Efficient; comparison=different value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__gpuType; flux2-dev=NVIDIA A100 80GB PCIe; stable-diffusion-1.5=NVIDIA L4; comparison=different value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__gpuCount; flux2-dev=1; stable-diffusion-1.5=1; comparison=same numeric value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__vramGB; flux2-dev=80; stable-diffusion-1.5=24; comparison=modelA higher by 56; source=instanceConfig.js derived fit
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__vCPU; flux2-dev=8; stable-diffusion-1.5=12; comparison=modelB higher by 4; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__ramGB; flux2-dev=117; stable-diffusion-1.5=50; comparison=modelA higher by 67; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__diskGB; flux2-dev=300; stable-diffusion-1.5=200; comparison=modelA higher by 100; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__instanceType; flux2-dev=gpu-very-high-vram; stable-diffusion-1.5=gpu-efficient; comparison=different value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__runpodInstanceId; flux2-dev=not-specified; stable-diffusion-1.5=not-specified; comparison=same value; source=instanceConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__hourlyCost; flux2-dev=1.39; stable-diffusion-1.5=0.39; comparison=modelA higher by 0.9999999999999999; source=instanceConfig.js deployCost
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__monthlyCost720h; flux2-dev=1000.8; stable-diffusion-1.5=280.8; comparison=modelA higher by 720; source=derived from hourly cost
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__deployTimeMinutes; flux2-dev=18; stable-diffusion-1.5=18; comparison=same numeric value; source=adapter estimate
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__popularity; flux2-dev=8; stable-diffusion-1.5=2; comparison=modelA higher by 6; source=modelConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__groupPopularity; flux2-dev=98; stable-diffusion-1.5=90; comparison=modelA higher by 8; source=modelConfig.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__paramCount; flux2-dev=32B; stable-diffusion-1.5=not-specified; comparison=different value; source=parsed from model metadata
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__contextWindow; flux2-dev=not-specified; stable-diffusion-1.5=not-specified; comparison=same value; source=parsed from model metadata
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__description; flux2-dev=Full 32B model; Requires 48GB+ VRAM (H100); Maximum quality and fidelity;; stable-diffusion-1.5=Legacy model; Fast and lightweight for testing;; comparison=different value; source=modelConfig.js / modelSeoData.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__useCases; flux2-dev=Multi-image editing workflows; Professional image generation; Fine-grained image control; Production-quality outputs; stable-diffusion-1.5=LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem; comparison=different value; source=modelSeoData.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__relatedGroups; flux2-dev=flux-2-klein; flux; hidream-i1; stable-diffusion-1.5=flux; qwen-image-2512; z-image-turbo; comparison=different value; source=modelSeoData.js
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__sourceFiles; flux2-dev=src/config/modelConfig.js; src/config/modelSeoData.js; src/config/instanceConfig.js; stable-diffusion-1.5=src/config/modelConfig.js; src/config/modelSeoData.js; src/config/instanceConfig.js; comparison=same value; source=snapshot sync
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__aboutBlurb; flux2-dev=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;; stable-diffusion-1.5=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;; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__configKeys; flux2-dev=flux2-dev-fp8, flux2-dev, flux2-dev-q4; stable-diffusion-1.5=stable-diffusion-xl, stable-diffusion-35-large, stable-diffusion-35-medium, stable-diffusion-35-turbo, stable-diffusion-1.5; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__defaultConfig.containerPort; flux2-dev=8188; stable-diffusion-1.5=8188; comparison=same numeric value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__defaultConfig.dockerImageBaseName; flux2-dev=comfyui-flux; stable-diffusion-1.5=comfyui-flux; comparison=same value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__defaultConfig.modelSize; flux2-dev=medium; stable-diffusion-1.5=medium; comparison=same value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__defaultConfig.templateName; flux2-dev=comfyui-flux; stable-diffusion-1.5=comfyui-flux; comparison=same value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__defaultConfig.volumeMountPath; flux2-dev=/data; stable-diffusion-1.5=/data; comparison=same value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__displayName; flux2-dev=FLUX.2; stable-diffusion-1.5=Stable Diffusion; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__dockerImageBaseName; flux2-dev=comfyui; stable-diffusion-1.5=comfyui; comparison=same value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__dockerImageTag; flux2-dev=flux2; stable-diffusion-1.5=simple-test; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__groupPopularity; flux2-dev=98; stable-diffusion-1.5=90; comparison=modelA higher by 8; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__h1; flux2-dev=Deploy FLUX.2; stable-diffusion-1.5=Deploy Stable Diffusion; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__id; flux2-dev=flux2-dev; stable-diffusion-1.5=stable-diffusion-1.5; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__modelGroup; flux2-dev=flux2; stable-diffusion-1.5=stable-diffusion; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__modelSize; flux2-dev=xlarge; stable-diffusion-1.5=small; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__modelType; flux2-dev=image; stable-diffusion-1.5=image; comparison=same value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__name; flux2-dev=FLUX.2 Dev Full; stable-diffusion-1.5=Stable Diffusion 1.5; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__popularity; flux2-dev=8; stable-diffusion-1.5=2; comparison=modelA higher by 6; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.deployCost; flux2-dev=1.39; stable-diffusion-1.5=0.39; comparison=modelA higher by 0.9999999999999999; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.disk; flux2-dev=300; stable-diffusion-1.5=200; comparison=modelA higher by 100; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.gpuCount; flux2-dev=1; stable-diffusion-1.5=1; comparison=same numeric value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.gpuType; flux2-dev=NVIDIA A100 80GB PCIe; stable-diffusion-1.5=NVIDIA L4; comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.id; flux2-dev=gpu-a100-80gb; stable-diffusion-1.5=gpu-l4; comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.name; flux2-dev=GPU Very High VRAM (A100 80GB); stable-diffusion-1.5=GPU Efficient (L4); comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.ram; flux2-dev=117; stable-diffusion-1.5=50; comparison=modelA higher by 67; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.suitableFor; flux2-dev=70B+ LLMs, Complex Workflows, Fine-tuning; stable-diffusion-1.5=7B-13B LLMs, SDXL Images, Power Efficient; comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.type; flux2-dev=gpu-very-high-vram; stable-diffusion-1.5=gpu-efficient; comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__recommendedInstance.vCPU; flux2-dev=8; stable-diffusion-1.5=12; comparison=modelB higher by 4; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__relatedGroups; flux2-dev=flux-2-klein, flux, hidream-i1; stable-diffusion-1.5=flux, qwen-image-2512, z-image-turbo; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__resolvedConfig.containerPort; flux2-dev=8188; stable-diffusion-1.5=8188; comparison=same numeric value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__resolvedConfig.dockerImageBaseName; flux2-dev=comfyui; stable-diffusion-1.5=comfyui; comparison=same value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__resolvedConfig.modelSize; flux2-dev=xlarge; stable-diffusion-1.5=small; comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__resolvedConfig.templateName; flux2-dev=comfyui-flux2; stable-diffusion-1.5=comfyui-simple-test; comparison=different value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__resolvedConfig.volumeMountPath; flux2-dev=/data; stable-diffusion-1.5=/data; comparison=same value; source=resolved config snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__sizeVariant; flux2-dev=Dev Full (64GB); stable-diffusion-1.5=1.5 (Legacy); comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__slug; flux2-dev=flux-2; stable-diffusion-1.5=stable-diffusion; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__templateName; flux2-dev=comfyui-flux2; stable-diffusion-1.5=comfyui-simple-test; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__useCases; flux2-dev=Multi-image editing workflows, Professional image generation, Fine-grained image control, Production-quality outputs; stable-diffusion-1.5=LoRA and fine-tune deployment, Custom model training base, Established workflow integration, Community model ecosystem; comparison=different value; source=model config or SEO snapshot
flux2-dev__stable-diffusion-1.5 field=flux2-dev__stable-diffusion-1.5__fact__workflowUrl; flux2-dev=https://comfyanonymous.github.io/ComfyUI_examples/flux2/; stable-diffusion-1.5=bundled://simple-test; comparison=different value; source=model config or SEO snapshot

Description comparison

Field	flux2-dev	stable-diffusion-1.5
Description	Full 32B model; Requires 48GB+ VRAM (H100); Maximum quality and fidelity;	Legacy model; Fast and lightweight for testing;
Use cases	Multi-image editing workflows; Professional image generation; Fine-grained image control; Production-quality outputs	LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem
Related groups	flux-2-klein; flux; hidream-i1	flux; qwen-image-2512; z-image-turbo

Deployment facts

flux2-dev__stable-diffusion-1.5 source id comparison: flux2-dev=flux2-dev; stable-diffusion-1.5=stable-diffusion-1.5;
flux2-dev__stable-diffusion-1.5 template comparison: flux2-dev uses comfyui-flux2 with comfyui; stable-diffusion-1.5 uses comfyui-simple-test with comfyui;
flux2-dev__stable-diffusion-1.5 instance comparison: flux2-dev runs on GPU Very High VRAM (A100 80GB) at $1.39/hr and 80GB VRAM; stable-diffusion-1.5 runs on GPU Efficient (L4) at $0.39/hr and 24GB VRAM;
flux2-dev__stable-diffusion-1.5 fit notes: flux2-dev=70B+ LLMs, Complex Workflows, Fine-tuning; stable-diffusion-1.5=7B-13B LLMs, SDXL Images, Power Efficient;
flux2-dev__stable-diffusion-1.5 use case comparison: flux2-dev=Multi-image editing workflows; Professional image generation; Fine-grained image control; Production-quality outputs; stable-diffusion-1.5=LoRA and fine-tune deployment; Custom model training base; Established workflow integration; Community model ecosystem;
flux2-dev__stable-diffusion-1.5 source files: flux2-dev=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js; stable-diffusion-1.5=src/config/modelConfig.js, src/config/modelSeoData.js, src/config/instanceConfig.js;

Deployment payload fields

flux2-dev__stable-diffusion-1.5.candidate_a.modelType=image
flux2-dev__stable-diffusion-1.5.candidate_a.modelName=flux2-dev
flux2-dev__stable-diffusion-1.5.candidate_a.instanceId=gpu-a100-80gb
flux2-dev__stable-diffusion-1.5.candidate_a.templateName=comfyui-flux2
flux2-dev__stable-diffusion-1.5.candidate_a.containerPort=default
flux2-dev__stable-diffusion-1.5.candidate_a.dockerImageBaseName=comfyui
flux2-dev__stable-diffusion-1.5.candidate_b.modelType=image
flux2-dev__stable-diffusion-1.5.candidate_b.modelName=stable-diffusion-1.5
flux2-dev__stable-diffusion-1.5.candidate_b.instanceId=gpu-l4
flux2-dev__stable-diffusion-1.5.candidate_b.templateName=comfyui-simple-test
flux2-dev__stable-diffusion-1.5.candidate_b.containerPort=default
flux2-dev__stable-diffusion-1.5.candidate_b.dockerImageBaseName=comfyui

Matched model assets

flux2-dev__stable-diffusion-1.5 asset-1 filename=flux2_dev_fp8mixed.safetensors; size=32.2GB; type=unet; destination=diffusion_models; repository=Comfy-Org/flux2-dev; host=huggingface.co; url=https://huggingface.co/Comfy-Org/flux2-dev/resolve/main/split_files/diffusion_models/flux2_dev_fp8mixed.safetensors
flux2-dev__stable-diffusion-1.5 asset-2 filename=flux2-dev.safetensors; size=64.4GB; type=unet; destination=diffusion_models; repository=black-forest-labs/FLUX.2-dev; host=huggingface.co; url=https://huggingface.co/black-forest-labs/FLUX.2-dev/resolve/main/flux2-dev.safetensors
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flux2-dev__stable-diffusion-1.5 asset-64 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
flux2-dev__stable-diffusion-1.5 asset-65 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
flux2-dev__stable-diffusion-1.5 asset-66 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
flux2-dev__stable-diffusion-1.5 asset-67 filename=seedvr2_ema_3b_fp16.safetensors; size=6.78GB; type=unet; destination=diffusion_models; repository=numz/SeedVR2_comfyUI; host=huggingface.co; url=https://huggingface.co/numz/SeedVR2_comfyUI/resolve/main/seedvr2_ema_3b_fp16.safetensors
flux2-dev__stable-diffusion-1.5 asset-68 filename=seedvr2_ema_3b_fp8_e4m3fn.safetensors; size=3.39GB; type=unet; destination=diffusion_models; repository=numz/SeedVR2_comfyUI; host=huggingface.co; url=https://huggingface.co/numz/SeedVR2_comfyUI/resolve/main/seedvr2_ema_3b_fp8_e4m3fn.safetensors
flux2-dev__stable-diffusion-1.5 asset-69 filename=seedvr2_ema_7b_fp16.safetensors; size=16.5GB; type=unet; destination=diffusion_models; repository=numz/SeedVR2_comfyUI; host=huggingface.co; url=https://huggingface.co/numz/SeedVR2_comfyUI/resolve/main/seedvr2_ema_7b_fp16.safetensors
flux2-dev__stable-diffusion-1.5 asset-70 filename=seedvr2_ema_7b_fp8_e4m3fn.safetensors; size=8.24GB; type=unet; destination=diffusion_models; repository=numz/SeedVR2_comfyUI; host=huggingface.co; url=https://huggingface.co/numz/SeedVR2_comfyUI/resolve/main/seedvr2_ema_7b_fp8_e4m3fn.safetensors
flux2-dev__stable-diffusion-1.5 asset-71 filename=stable_cascade_stage_a.safetensors; size=73.7MB; type=vae; destination=vae; repository=stabilityai/stable-cascade; host=huggingface.co; url=https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_a.safetensors
flux2-dev__stable-diffusion-1.5 asset-72 filename=stable_cascade_stage_b.safetensors; size=5.58GB; type=unet; destination=unet; repository=stabilityai/stable-cascade; host=huggingface.co; url=https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_b_bf16.safetensors
flux2-dev__stable-diffusion-1.5 asset-73 filename=stable_cascade_stage_c.safetensors; size=14.4GB; type=unet; destination=unet; repository=stabilityai/stable-cascade; host=huggingface.co; url=https://huggingface.co/stabilityai/stable-cascade/resolve/main/stage_c_bf16.safetensors
flux2-dev__stable-diffusion-1.5 asset-74 filename=sulphur_dev_bf16.safetensors; size=46.1GB; type=checkpoint; destination=checkpoints; repository=SulphurAI/Sulphur-2-base; host=huggingface.co; url=https://huggingface.co/SulphurAI/Sulphur-2-base/resolve/main/sulphur_dev_bf16.safetensors
flux2-dev__stable-diffusion-1.5 asset-75 filename=sulphur_dev_fp8mixed.safetensors; size=29.2GB; type=checkpoint; destination=checkpoints; repository=SulphurAI/Sulphur-2-base; host=huggingface.co; url=https://huggingface.co/SulphurAI/Sulphur-2-base/resolve/main/sulphur_dev_fp8mixed.safetensors
flux2-dev__stable-diffusion-1.5 asset-76 filename=t5xxl_fp16.safetensors; size=9.79GB; type=clip; destination=clip; repository=comfyanonymous/flux_text_encoders; host=huggingface.co; url=https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors
flux2-dev__stable-diffusion-1.5 asset-77 filename=t5xxl_fp8_e4m3fn_scaled.safetensors; size=5.16GB; type=clip; destination=clip; repository=comfyanonymous/flux_text_encoders; host=huggingface.co; url=https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn_scaled.safetensors
flux2-dev__stable-diffusion-1.5 asset-78 filename=t5xxl_fp8_e4m3fn.safetensors; size=4.89GB; type=clip; destination=clip; repository=comfyanonymous/flux_text_encoders; host=huggingface.co; url=https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors
flux2-dev__stable-diffusion-1.5 asset-79 filename=Wan_2_1_Ovi_audio_model_bf16.safetensors; size=5.2GB; type=unet; destination=diffusion_models; repository=Kijai/WanVideo_comfy; host=huggingface.co; url=https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Ovi/Wan_2_1_Ovi_audio_model_bf16.safetensors
flux2-dev__stable-diffusion-1.5 asset-80 filename=Wan_2_1_Ovi_video_model_bf16.safetensors; size=12.4GB; type=unet; destination=diffusion_models; repository=Kijai/WanVideo_comfy; host=huggingface.co; url=https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Ovi/Wan_2_1_Ovi_video_model_bf16.safetensors

Paired source evidence

flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=id; value=flux2-dev
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=name; value=FLUX.2 Dev Full
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=displayName; value=FLUX.2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=sizeVariant; value=Dev Full (64GB)
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=templateName; value=comfyui-flux2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=dockerImageBaseName; value=comfyui
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=dockerImageTag; value=flux2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=modelSize; value=xlarge
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=popularity; value=8
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=modelGroup; value=flux2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=groupPopularity; value=98
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=h1; value=Deploy FLUX.2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=aboutBlurb; value=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;
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=useCases; value=Multi-image editing workflows, Professional image generation, Fine-grained image control, Production-quality outputs
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=relatedGroups; value=flux-2-klein, flux, hidream-i1
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=configKeys; value=flux2-dev-fp8, flux2-dev, flux2-dev-q4
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=workflowUrl; value=https://comfyanonymous.github.io/ComfyUI_examples/flux2/
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=defaultConfig.templateName; value=comfyui-flux
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=defaultConfig.dockerImageBaseName; value=comfyui-flux
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=defaultConfig.containerPort; value=8188
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=defaultConfig.volumeMountPath; value=/data
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=defaultConfig.modelSize; value=medium
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=resolvedConfig.templateName; value=comfyui-flux2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=resolvedConfig.dockerImageBaseName; value=comfyui
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=resolvedConfig.containerPort; value=8188
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=resolvedConfig.volumeMountPath; value=/data
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=resolvedConfig.modelSize; value=xlarge
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.id; value=gpu-a100-80gb
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.name; value=GPU Very High VRAM (A100 80GB)
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.suitableFor; value=70B+ LLMs, Complex Workflows, Fine-tuning
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.vCPU; value=8
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.ram; value=117
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.disk; value=300
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.gpuType; value=NVIDIA A100 80GB PCIe
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.gpuCount; value=1
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.type; value=gpu-very-high-vram
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=recommendedInstance.deployCost; value=1.39
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=slug; value=flux-2
flux2-dev__stable-diffusion-1.5 source-model=flux2-dev; field=modelType; value=image
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=id; value=stable-diffusion-1.5
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=name; value=Stable Diffusion 1.5
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=displayName; value=Stable Diffusion
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=sizeVariant; value=1.5 (Legacy)
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=templateName; value=comfyui-simple-test
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=dockerImageBaseName; value=comfyui
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=dockerImageTag; value=simple-test
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=modelSize; value=small
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=popularity; value=2
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=modelGroup; value=stable-diffusion
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=groupPopularity; value=90
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=h1; value=Deploy Stable Diffusion
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=aboutBlurb; value=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;
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=useCases; value=LoRA and fine-tune deployment, Custom model training base, Established workflow integration, Community model ecosystem
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=relatedGroups; value=flux, qwen-image-2512, z-image-turbo
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=configKeys; value=stable-diffusion-xl, stable-diffusion-35-large, stable-diffusion-35-medium, stable-diffusion-35-turbo, stable-diffusion-1.5
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=workflowUrl; value=bundled://simple-test
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=defaultConfig.templateName; value=comfyui-flux
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=defaultConfig.dockerImageBaseName; value=comfyui-flux
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=defaultConfig.containerPort; value=8188
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=defaultConfig.volumeMountPath; value=/data
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=defaultConfig.modelSize; value=medium
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=resolvedConfig.templateName; value=comfyui-simple-test
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=resolvedConfig.dockerImageBaseName; value=comfyui
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=resolvedConfig.containerPort; value=8188
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=resolvedConfig.volumeMountPath; value=/data
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=resolvedConfig.modelSize; value=small
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.id; value=gpu-l4
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.name; value=GPU Efficient (L4)
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.suitableFor; value=7B-13B LLMs, SDXL Images, Power Efficient
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.vCPU; value=12
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.ram; value=50
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.disk; value=200
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.gpuType; value=NVIDIA L4
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.gpuCount; value=1
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.type; value=gpu-efficient
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=recommendedInstance.deployCost; value=0.39
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=slug; value=stable-diffusion
flux2-dev__stable-diffusion-1.5 source-model=stable-diffusion-1.5; field=modelType; value=image

Pair-scoped catalog context

FAQ

What GPU runs flux2-dev in the flux2-dev vs stable-diffusion-1.5 comparison?

For flux2-dev vs stable-diffusion-1.5, flux2-dev uses GPU Very High VRAM (A100 80GB) with 80GB VRAM at $1.39/hr.

What GPU runs stable-diffusion-1.5 in the flux2-dev vs stable-diffusion-1.5 comparison?

For flux2-dev vs stable-diffusion-1.5, stable-diffusion-1.5 uses GPU Efficient (L4) with 24GB VRAM at $0.39/hr.

Which is cheaper to run 24/7 for flux2-dev vs stable-diffusion-1.5?

For flux2-dev vs stable-diffusion-1.5, stable-diffusion-1.5 is cheaper at $280.80/month vs $1000.80/month.