Stable Diffusion with 🧨 Diffusers
Hugging Face
Stability AI and collaborators created Stable Diffusion, a text-to-image model trained on 512x512 images from the LAION-5B dataset, which can be run through the Diffusers library with just a few lines of code. The model uses latent diffusion with a default of 50 inference steps and achieves an 8x8 spatial compression ratio, reducing memory requirements so that 512Ă—512 images can be generated on 16GB GPUs. Users can customize outputs by adjusting parameters like guidance_scale (7 to 8.5 recommended), num_inference_steps, and image dimensions, with quality improving as step count increases but generation time slowing proportionally.