Add `clip_sample=False` to scheduler to make model compatible with DDIM.

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

Update LICENSE.md

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Upload dreamlike.jpg

Update README.md

Upload diffusion_pytorch_model.bin

Create unet/config.json

Upload diffusion_pytorch_model.bin

Create vae/config.json

Create feature_extractor/preprocessor_config.json

Upload pytorch_model.bin

Create scheduler/scheduler_config.json

Upload pytorch_model.bin

Update README.md

Create safety_checker/config.json

Update README.md

Update README.md

Update README.md

Update README.md

Update README.md

Create unet/config.json

Upload 3 files

Create tokenizer/merges.txt

Create text_encoder/config.json

Upload preview.jpg

Delete Frame 331 1.jpg

Upload Frame 331 1.jpg

Update README.md

Upload dreamlike-photoreal-1.0.ckpt

Create model_index.json

Update README.md

Update LICENSE.md

Rename LICENSE to LICENSE.md

Create LICENSE

initial commit