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README.md
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@@ -71,6 +71,13 @@ image = pipe(prompt, num_inference_steps=4, guidance_scale=0).images[0]
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<img style="width:400px;" src="assets/raccoon.png">
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</p>
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## Citation
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If you find this work useful or use it in your research, please consider citing us
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<img style="width:400px;" src="assets/raccoon.png">
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</p>
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## Training details
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The model was trained for ~50 hours on 2 H100 GPUs.
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💡 Training Hint : Model could perform much better on text if distilled on dataset of images containing text, feel free to try it yourself.
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## Citation
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If you find this work useful or use it in your research, please consider citing us
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