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SDXL: update links to refine docs (#5101)

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* SDXL: update links to refine docs

* make style
This commit is contained in:
Pedro Cuenca
2023-09-22 13:17:17 +02:00
committed by GitHub
parent 493f9529d7
commit 2e860e89eb
1 changed files with 4 additions and 4 deletions
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8
src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl_img2img.py
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@@ -722,16 +722,16 @@ class StableDiffusionXLImg2ImgPipeline(
bypassed before it is initiated. Consequently, the initial part of the denoising process is skipped and
it is assumed that the passed `image` is a partly denoised image. Note that when this is specified,
strength will be ignored. The `denoising_start` parameter is particularly beneficial when this pipeline
is integrated into a "Mixture of Denoisers" multi-pipeline setup, as detailed in [**Refining the Image
Output**](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/stable_diffusion_xl#refining-the-image-output).
is integrated into a "Mixture of Denoisers" multi-pipeline setup, as detailed in [**Refine Image
Quality**](https://huggingface.co/docs/diffusers/using-diffusers/sdxl#refine-image-quality).
denoising_end (`float`, *optional*):
When specified, determines the fraction (between 0.0 and 1.0) of the total denoising process to be
completed before it is intentionally prematurely terminated. As a result, the returned sample will
still retain a substantial amount of noise (ca. final 20% of timesteps still needed) and should be
denoised by a successor pipeline that has `denoising_start` set to 0.8 so that it only denoises the
final 20% of the scheduler. The denoising_end parameter should ideally be utilized when this pipeline
forms a part of a "Mixture of Denoisers" multi-pipeline setup, as elaborated in [**Refining the Image
Output**](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/stable_diffusion_xl#refining-the-image-output).
forms a part of a "Mixture of Denoisers" multi-pipeline setup, as elaborated in [**Refine Image
Quality**](https://huggingface.co/docs/diffusers/using-diffusers/sdxl#refine-image-quality).
guidance_scale (`float`, *optional*, defaults to 7.5):
Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
`guidance_scale` is defined as `w` of equation 2. of [Imagen