1.7 KiB
Image variation
The Stable Diffusion model can also generate variations from an input image. It uses a fine-tuned version of a Stable Diffusion model by Justin Pinkney from Lambda.
The original codebase can be found at LambdaLabsML/lambda-diffusers and additional official checkpoints for image variation can be found at lambdalabs/sd-image-variations-diffusers.
Tip
Make sure to check out the Stable Diffusion Tips section to learn how to explore the tradeoff between scheduler speed and quality, and how to reuse pipeline components efficiently!
StableDiffusionImageVariationPipeline
autodoc StableDiffusionImageVariationPipeline - all - call - enable_attention_slicing - disable_attention_slicing - enable_xformers_memory_efficient_attention - disable_xformers_memory_efficient_attention
StableDiffusionPipelineOutput
autodoc pipelines.stable_diffusion.StableDiffusionPipelineOutput