add inpainting model

This commit is contained in:
Patrick Esser 2021-12-21 11:35:45 +00:00
parent 17e64e3205
commit 32a9661b4e
2 changed files with 17 additions and 7 deletions

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@ -70,10 +70,23 @@ We provide a first script for sampling from our unconditional models. Start it v
CUDA_VISIBLE_DEVICES=<GPU_ID> python scripts/sample_diffusion.py -r models/ldm/<model_spec>/model.ckpt -l <logdir> -n <\#samples> --batch_size <batch_size> -c <\#ddim steps> -e <\#eta> CUDA_VISIBLE_DEVICES=<GPU_ID> python scripts/sample_diffusion.py -r models/ldm/<model_spec>/model.ckpt -l <logdir> -n <\#samples> --batch_size <batch_size> -c <\#ddim steps> -e <\#eta>
``` ```
## Coming Soon... # Inpainting
![inpainting](assets/inpainting.png) ![inpainting](assets/inpainting.png)
Download the pre-trained weights
```
wget -O models/ldm/inpainting_big/last.ckpt https://heibox.uni-heidelberg.de/f/4d9ac7ea40c64582b7c9/?dl=1
```
and sample with
```
python scripts/inpaint.py --indir data/inpainting_examples/ --outdir outputs/inpainting_results
```
`indir` should contain images `*.png` and masks `<image_fname>_mask.png` like
the examples provided in `data/inpainting_examples`.
## Coming Soon...
* Code for training LDMs and the corresponding compression models. * Code for training LDMs and the corresponding compression models.
* Inference scripts for conditional LDMs for various conditioning modalities. * Inference scripts for conditional LDMs for various conditioning modalities.
* In the meantime, you can play with our colab notebook https://colab.research.google.com/drive/1xqzUi2iXQXDqXBHQGP9Mqt2YrYW6cx-J?usp=sharing * In the meantime, you can play with our colab notebook https://colab.research.google.com/drive/1xqzUi2iXQXDqXBHQGP9Mqt2YrYW6cx-J?usp=sharing

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@ -8,7 +8,7 @@ wget -O models/ldm/cin256/model.zip https://ommer-lab.com/files/latent-diffusion
wget -O models/ldm/semantic_synthesis512/model.zip https://ommer-lab.com/files/latent-diffusion/semantic_synthesis.zip wget -O models/ldm/semantic_synthesis512/model.zip https://ommer-lab.com/files/latent-diffusion/semantic_synthesis.zip
wget -O models/ldm/bsr_sr/model.zip https://ommer-lab.com/files/latent-diffusion/sr_bsr.zip wget -O models/ldm/bsr_sr/model.zip https://ommer-lab.com/files/latent-diffusion/sr_bsr.zip
wget -O models/ldm/layout2img-openimages256/model.zip https://ommer-lab.com/files/latent-diffusion/layout2img_model.zip wget -O models/ldm/layout2img-openimages256/model.zip https://ommer-lab.com/files/latent-diffusion/layout2img_model.zip
wget -O models/ldm/inpainting_big/model.zip #TODO @patrick add path wget -O models/ldm/inpainting_big/last.ckpt https://heibox.uni-heidelberg.de/f/4d9ac7ea40c64582b7c9/?dl=1
@ -39,7 +39,4 @@ unzip -o model.zip
cd ../layout2img-openimages256 cd ../layout2img-openimages256
unzip -o model.zip unzip -o model.zip
cd ../inpainting_big
unzip -o model.zip
cd ../.. cd ../..