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Commits on Mar 4, 2024

• README.md: make sd model example more complete

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• README.md: add example of how to load original sd checkpoint

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• convert_model.py: add help text

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• default dtype float32

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• add convert_model.py

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• demo_sdmodel_generate_image.py: convert tabs to spaces

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• move checkpoint_loader to convert_from_sdmodel and model_loader; update example

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• Merge https://github.com/kjsman/stable-diffusion-pytorch into load_sd_model

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Commits on Mar 3, 2024

• pipeline: support running models in float16

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• demo_loadmodel: add link for the model used

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• demo_loadmodel: don't put colons in filename (not allowed on windows)

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• add a demo for loading an original stable diffusion checkpoint and generating an image

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• add checkpoint_loader, support original stable diffusion checkpoints

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Commits on Feb 11, 2023

• fix(encoder): change downsampling padding to asymmetric one

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Commits on Nov 14, 2022

• chore(pipeline): change progress bar operations order

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• chore(deps): add tqdm to README

  

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• feat(pipeline): add progress bar and check on sampler

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Commits on Nov 12, 2022

• fix(pipeline): change the default value of models paramter to empty dict

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Commits on Nov 4, 2022

• feat(pipeline): support string path for images in img2img pipeline

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Commits on Nov 3, 2022

• fix(pipeline): replace torch.inference_mode with torch.no_grad

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• Merge pull request #1 from mspronesti/main

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Commits on Nov 2, 2022

• fix(pipeline): resize input image for img2img

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Commits on Oct 29, 2022

• Specify padding value as explict number, not 'same'

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• Replace torch.swapaxes to torch.transpose

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• Implement self/cross-attention and supports checkpoints file compatibility

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Commits on Oct 26, 2022

• Add Colab demo

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• Change MultiHeadAttention dropout probability to float

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• Add Stable Diffusion link

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• Initial commit

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