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@@ -88,7 +88,37 @@ The training ran on a single Nvidia H100 SXM 80GB Runpod Pod for 9 hours (incl.
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+ ## How to run the model
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+ You can our demo space on HF [here](https://huggingface.co/spaces/LH-Tech-AI/Supra2-IMG-Demo) or you can run the model on your own hardware:
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+ <br><br>
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+ First, run:
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+ ```bash
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+ # Create project directory
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+ mkdir Supra2-IMG
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+ cd Supra2-IMG
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+ # Download the inference script
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+ wget https://huggingface.co/SupraLabs/Supra2-IMG/resolve/main/inference.py
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+ ```
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+ Then, you can generate images by running:
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+ ```bash
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+ python inference.py --prompt "a sea jellyfish floating in the pitch-black ocean depths" --seed 0 --cfg 3.0 --steps 50 --n 1 --out jellyfish.png
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+ ```
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+ ### Recommended settings for sampling
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+ - `--seed`: 0
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+ - `--cfg`: 3.0
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+ - `--steps`: 50
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+ ### Expected Output
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+ The script will output something like:
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+ ```bash
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+ ```
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