Stable Diffusion 3.5 Large
Stable Diffusion 3.5 Large costs $0.078/image on FairStack — a text to image model for Open-source workflows, ControlNet pipelines, Custom model integration. No subscription required. Pay per generation with full REST API access. FairStack applies a transparent 20% margin on infrastructure cost so you always see the real price.
What is Stable Diffusion 3.5 Large?
Stable Diffusion 3.5 Large is the latest major release from Stability AI in the open-source image generation space. While outperformed by newer commercial models in raw quality metrics, it offers something they cannot: full access to the open-source ecosystem including ControlNet, custom pipelines, community LoRA adaptors, and the ability to modify the model itself. The model supports spatial control through ControlNet (depth maps, edge detection, pose guidance), enabling precise compositional control that API-only models cannot match. A large community LoRA library allows fine-tuning for specific styles, subjects, and use cases. Multiple pipeline integration options make it suitable for complex, multi-step generation workflows. Compared to FLUX Dev, another open-weight model, SD 3.5 Large offers broader ControlNet compatibility but lower baseline quality. Against commercial models like GPT Image 1.5 or Seedream 4.0, it trades quality for customization freedom. At $0.065 per image with an Elo score of 1020, its price-to-quality ratio is unfavorable for standard generation tasks — its value lies entirely in ecosystem access and customization capability. Best suited for open-source workflows requiring ControlNet, custom model pipelines, research and experimentation, and any project where the ability to modify and extend the model outweighs raw output quality. Available on FairStack at infrastructure cost plus a 20% platform fee.
Key Features
What are Stable Diffusion 3.5 Large's strengths?
What are Stable Diffusion 3.5 Large's limitations?
What is Stable Diffusion 3.5 Large best for?
How much does Stable Diffusion 3.5 Large cost?
How does Stable Diffusion 3.5 Large perform across capabilities?
How do I use the Stable Diffusion 3.5 Large API?
curl -X POST https://api.fairstack.ai/v1/generations/image \
-H "Authorization: Bearer $FAIRSTACK_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "sd-3.5-large",
"prompt": "Your prompt here"
}'import requests
response = requests.post(
"https://api.fairstack.ai/v1/generations/image",
headers={
"Authorization": f"Bearer {FAIRSTACK_API_KEY}",
"Content-Type": "application/json",
},
json={
"model": "sd-3.5-large",
"prompt": "Your prompt here",
},
)
result = response.json()
print(result["url"])const response = await fetch(
"https://api.fairstack.ai/v1/generations/image",
{
method: "POST",
headers: {
Authorization: `Bearer ${process.env.FAIRSTACK_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "sd-3.5-large",
prompt: "Your prompt here",
}),
}
);
const result = await response.json();
console.log(result.url);What parameters does Stable Diffusion 3.5 Large support?
Frequently Asked Questions
How much does Stable Diffusion 3.5 Large cost?
Stable Diffusion 3.5 Large costs $0.078/image on FairStack as of 2026-05-13. This price includes FairStack's transparent 20% margin on infrastructure cost. No subscription or monthly fee — you pay per generation only. Minimum deposit is $1.
What is Stable Diffusion 3.5 Large and what is it best for?
Stable Diffusion 3.5 Large is the latest major release from Stability AI in the open-source image generation space. While outperformed by newer commercial models in raw quality metrics, it offers something they cannot: full access to the open-source ecosystem including ControlNet, custom pipelines, community LoRA adaptors, and the ability to modify the model itself. The model supports spatial control through ControlNet (depth maps, edge detection, pose guidance), enabling precise compositional control that API-only models cannot match. A large community LoRA library allows fine-tuning for specific styles, subjects, and use cases. Multiple pipeline integration options make it suitable for complex, multi-step generation workflows. Compared to FLUX Dev, another open-weight model, SD 3.5 Large offers broader ControlNet compatibility but lower baseline quality. Against commercial models like GPT Image 1.5 or Seedream 4.0, it trades quality for customization freedom. At $0.065 per image with an Elo score of 1020, its price-to-quality ratio is unfavorable for standard generation tasks — its value lies entirely in ecosystem access and customization capability. Best suited for open-source workflows requiring ControlNet, custom model pipelines, research and experimentation, and any project where the ability to modify and extend the model outweighs raw output quality. Available on FairStack at infrastructure cost plus a 20% platform fee. Stable Diffusion 3.5 Large is best for Open-source workflows, ControlNet pipelines, Custom model integration. Available via FairStack's REST API with curl, Python, and Node.js SDKs.
Does Stable Diffusion 3.5 Large have an API?
Yes. Stable Diffusion 3.5 Large is available via FairStack's REST API at api.fairstack.ai. Send a POST request to /v1/generations/image with your API key and prompt. Works with curl, Python requests, Node.js fetch, and any HTTP client. No SDK installation required.
How does Stable Diffusion 3.5 Large compare to other image models?
Stable Diffusion 3.5 Large excels at Open-source workflows, ControlNet pipelines, Custom model integration. It is a text to image model priced at $0.078/image on FairStack. Key strengths: Open-source with full ecosystem, ControlNet compatible. Compare all image models at fairstack.ai/models.
What makes Stable Diffusion 3.5 Large stand out from other image generators?
Stable Diffusion 3.5 Large stands out with open-source with full ecosystem and controlnet compatible. Generation typically completes in 5-15 seconds.
What are the known limitations of Stable Diffusion 3.5 Large?
Key limitations include: below average quality vs commercial models; outperformed by newer models in every metric; expensive at $0.065/image for the quality. FairStack documents these transparently so you can choose the right model for your workflow.
How fast is Stable Diffusion 3.5 Large?
Stable Diffusion 3.5 Large typically completes in 5-15 seconds. This provides a good balance between output quality and processing speed for most production workflows.
What features does Stable Diffusion 3.5 Large support?
Stable Diffusion 3.5 Large offers: open-source model; controlnet compatible; community ecosystem; multiple pipeline integration options. All capabilities are accessible through both the FairStack web interface and REST API.
See how Stable Diffusion 3.5 Large compares
Side-by-side pricing comparisons with competitors
Start using Stable Diffusion 3.5 Large today
$0.078/image. Full API access. No subscription.
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