Generate Images with Stable Diffusion 3.5
Stable Diffusion 3.5 is the latest release from Stability AI, building on the most widely adopted open-source image generation framework in the world.
Try Stable Diffusion 3.5 FreeAbout Stable Diffusion 3.5
Stable Diffusion 3.5 brings a major leap in quality over its predecessors while maintaining the open-source ethos that made the SD family legendary. The model uses a Multi-Modal Diffusion Transformer (MMDiT) architecture with improved text encoders for better prompt adherence. Native ControlNet support means you can guide generation with depth maps, edge detection, blur maps, and pose references. SD 3.5 comes in multiple sizes, from the lightweight Medium variant to the full Large model, giving you flexibility between speed and quality.
What Stable Diffusion 3.5 Can Do
Key features and strengths of this model
Ideal Use Cases for Stable Diffusion 3.5
Where this model delivers the best results
Artists wanting creative control
ControlNet-guided generation
Custom model fine-tuning with LoRAs
Batch image generation workflows
Concept art exploration
Community-driven style experiments
Technical Specifications
| Model | Stable Diffusion 3.5 |
| Type | Image Generation |
| Max Resolution | Up to 1536x1536 |
| Generation Speed | ~4 seconds |
| Category | Image Generation |
Stable Diffusion 3.5 FAQ
Common questions about using Stable Diffusion 3.5 on Apatero
Is Stable Diffusion 3.5 free to use?
Stable Diffusion 3.5 is open-source under Stability AI's community license. On Apatero, you can generate images with SD 3.5 using your subscription tokens or credits, with no additional licensing fees.
What is ControlNet and how does it work with SD 3.5?
ControlNet lets you guide image generation using reference inputs like edge maps, depth maps, or pose skeletons. SD 3.5 has native ControlNet support, meaning you can upload a reference image and the model will follow its structure while generating new content.
Can I train custom LoRAs for Stable Diffusion 3.5?
Yes. SD 3.5 fully supports LoRA (Low-Rank Adaptation) fine-tuning. You can train custom styles, characters, or concepts and use them directly on Apatero for consistent, personalized image generation.
How does SD 3.5 compare to FLUX 2 Pro?
FLUX 2 Pro generally produces higher fidelity photorealistic images, while SD 3.5 offers more flexibility through ControlNet support and LoRA training. SD 3.5 is better for guided generation and custom workflows, while FLUX 2 Pro excels at out-of-the-box quality.
Try Stable Diffusion 3.5 on Apatero
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Generate with Stable Diffusion 3.5