What is the difference between Stable Diffusion 3.5 Medium, Large, and Large Turbo?
SD 3.5 Medium (2.5B parameters) is optimized for consumer hardware, SD 3.5 Large (8B parameters) offers the highest quality for professional use, and SD 3.5 Large Turbo provides rapid generation in just 4 steps while maintaining high quality.
What hardware is required to run Stable Diffusion 3.5?
Hardware requirements vary by model. SD 3.5 Medium runs on consumer GPUs, SD 3.5 Large needs more powerful hardware, and SD 3.5 Large Turbo is optimized for efficient resource usage. All models support CPU offloading and model quantization for better performance.
Can I use Stable Diffusion 3.5 for commercial projects?
Yes, Stable Diffusion 3.5 can be used commercially under the Stability AI Community License for organizations with annual revenue under $1M. For larger organizations, an Enterprise License is required.
What image resolutions does SD 3.5 support?
SD 3.5 Medium supports 0.25 to 2 megapixel resolution, while SD 3.5 Large and Large Turbo models support 1 megapixel resolution with optimal quality.
How does SD 3.5 improve upon previous versions?
Stable Diffusion 3.5 features improved MMDiT architecture, better text understanding through multiple encoders, enhanced image quality, superior typography rendering, and better prompt adherence.
What integration options are available for SD 3.5?
You can integrate Stable Diffusion 3.5 through ComfyUI, Diffusers library, direct API access, or use it via Hugging Face Spaces. Each model supports various implementation methods.
When will SD 3.5 Medium be released?
Stable Diffusion 3.5 Medium is scheduled for release on October 29th, while SD 3.5 Large and Large Turbo are already available for use.
How does model quantization work in SD 3.5?
All SD 3.5 models support quantization through the Diffusers library, allowing you to reduce VRAM usage while maintaining good performance. This is particularly useful for running on consumer hardware.
What safety measures are implemented in Stable Diffusion 3.5?
SD 3.5 includes comprehensive safety measures, filtered training data, and content guidelines to ensure responsible AI usage while maintaining creative freedom.
Can I fine-tune SD 3.5 models?
Yes, Stable Diffusion 3.5 models support fine-tuning. The Large model, in particular, is designed with customization in mind through its QK normalization feature.
What is the context length for text prompts in SD 3.5?
Stable Diffusion 3.5 supports varying context lengths: 77 tokens for CLIP encoders and up to 256 tokens for T5 encoder, allowing for detailed prompt descriptions.
How does SD 3.5 Large Turbo achieve faster generation?
SD 3.5 Large Turbo uses Adversarial Diffusion Distillation (ADD) technology to generate high-quality images in just 4 steps, compared to the standard 20+ steps in regular models.
Are ControlNets available for Stable Diffusion 3.5?
ControlNets for SD 3.5 will be released shortly after the Medium model launch, providing advanced control features for professional use cases.
What types of images can I generate with SD 3.5?
Stable Diffusion 3.5 excels at creating diverse artistic styles, photorealistic images, complex scenes, and detailed illustrations, with improved capability in handling text and typography.
How do I report issues or provide feedback about SD 3.5?
You can report technical issues, safety concerns, or provide feedback through Stability AI's official channels or their community platforms.
