Avrik/mirrors-edge-diffusion

Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)

Add `scale_factor` to vae config. (#4)

Add `clip_sample=False` to scheduler to make model compatible with DDIM. (#3)

Correct `sample_size` of Stable Diffusion 1's unet to have correct width and height default (#2)

Upload MirrorsEdge.safetensors with huggingface_hub

Update README.md

Update README.md

Upload diffusion_pytorch_model.bin

Upload diffusion_pytorch_model.bin

Upload pytorch_model.bin

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Upload model_index.json

Create vae/config.json

Create unet/config.json

Upload 4 files

Create tokenizer/merges.txt

Create text_encoder/config.json

Create scheduler/scheduler_config.json

Create safety_checker/config.json

Create feature_extractor/preprocessor_config.json

Delete vae/a

Delete unet/a

Delete tokenizer/a

Delete text_encoder/a

Delete scheduler/a

Delete safety_checker/a

Delete feature_extractor/a

Create vae/a

Create unet/a

Create tokenizer/a

Create text_encoder/a

Create scheduler/a

Create safety_checker/a

Create feature_extractor/a

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

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initial commit