M mchaker

## improve-stablediffusion-pipeline-mem-mgmt.py
pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True)
pipe = pipe.to("cuda")

img2imgPipe = StableDiffusionImg2ImgPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16",  torch_dtype=torch.float16, use_auth_token=True)
img2imgPipe = img2imgPipe.to("cuda")

inpaintingPipe = StableDiffusionInpaintingPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16",  torch_dtype=torch.float16, use_auth_token=True)
inpaintingPipe = inpaintingPipe.to("cuda")


## links-sd.md

      
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                Stable Diffusion Links INDEX
              
          
    📑 links.sd: Useful Stable Diffusion Links

🛠 mods and tools

These are patches or modifications you can make to your installation of stable-diffusion to achieve different results: lower/more optimized VRAM usage, changes in speed, etc.
🔬 finetunes and datasets

These are fine-tunings of the Stable Diffusion model, built on specific auxiliary/custom datasets. Also included are links to dataset search tools.

  
## stable-diffusion-links_finetunes.md

      
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                stable-diffusion-links: finetunes
              
          
    📑 links.sd index
links to SD finetunes and datasets

(link ids are adler32-style sha-1 hashes of the URL)
finetunes

Waifu Diffusion


## stable-diffusion-links_webuis.md

      
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                stable-diffusion-links: web UIs
              
          
    📑 links.sd index
links to SD web UIs

(link ids are adler32-style sha-1 hashes of the URL)
sd-webui aka hlky


link id: dbb312f2
https://github.com/sd-webui/stable-diffusion-webui


## stable-diffusion-links_guides.md

      
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                stable-diffusion-links: guides
              
          
    📑 links.sd index
links to SD guides and info hubs

(link ids are adler32-style sha-1 hashes of the URL)
Installation Guides

NVIDIA


## stable-diffusion-links_hosted.md

      
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                stable-diffusion-links: hosted environments
              
          
    📑 links.sd index
links to hosted environments and SaaS sites

(link ids are adler32-style sha-1 hashes of the URL)
txt2img


https://huggingface.co/spaces/stabilityai/stable-diffusion


link id: 8a38165e
	pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True)
	pipe = pipe.to("cuda")

	img2imgPipe = StableDiffusionImg2ImgPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True)
	img2imgPipe = img2imgPipe.to("cuda")

	inpaintingPipe = StableDiffusionInpaintingPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True)
	inpaintingPipe = inpaintingPipe.to("cuda")