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@@ -37,7 +37,31 @@ If you use this code, data or pre-trained weights, please cite our ICLR 2022 pap
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## Using pre-trained weights
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In the paper, we present ClimateGAN as a solution to produce images of floods. It can actually do **more**:
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}
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```
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## Using pre-trained weights from this Huggingface Space and Stable Diffusion In-painting
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1. Download code and model
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```
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git clone https://huggingface.co/spaces/vict0rsch/climateGAN hf-spaces-climategan
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cd hf-spaces-climategan
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git lfs install
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git lfs pull
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```
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2. Install requirements
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```
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pip install requirements.txt
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```
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3. **Enable Stable Diffusion Inpainting** by visiting the model's card: https://huggingface.co/runwayml/stable-diffusion-inpainting **and** running `$ huggingface-cli login`
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4. Run `$ python climategan_wrapper.py help` for usage instructions on how to infer on a folder's images.
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5. Run `$ python app.py` to see the Gradio app.
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1. To use Google Street View you'll need an API key and set the `GMAPS_API_KEY` environment variable.
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2. To use Stable Diffusion if you can't run `$ huggingface-cli login` (on a Huggingface Space for instance) set the `HF_AUTH_TOKEN` env variable to a [Huggingface authorization token](https://huggingface.co/settings/tokens)
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3. To change the UI without model overhead, set the `CG_DEV_MODE` environment variable to `true`.
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For a more fine-grained control on ClimateGAN's inferences, refer to `apply_events.py` (does not support Stable Diffusion painter)
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**Note:** you don't have control on the prompt by design because I disabled the safety checker. Fork this space/repo and do it yourself if you really need to change the prompt. At least [open a discussion](https://huggingface.co/spaces/vict0rsch/climateGAN/discussions).
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## Using pre-trained weights from source
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In the paper, we present ClimateGAN as a solution to produce images of floods. It can actually do **more**:
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