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445b0e3
1 Parent(s): 7163a34

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -164,7 +164,7 @@ iface = gr.Interface(fn=gen_ims,
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  examples=[["An iceberg, oil on canvas"],["A martian landscape, in the style of Monet"], ['A peaceful meadow, pastel crayons'], ["A painting of a vase of flowers"], ["A ship leaving the port in the summer, oil on canvas"]],
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  title='Generate art from text prompts :',
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  description="By typing a text prompt or providing an image prompt, and pressing submit you can generate images based on this prompt. The model was trained on images from the [WikiArt](https://huggingface.co/datasets/huggan/wikiart) dataset, comprised mostly of paintings.",
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- article = 'The model is a distilled version of a cloob-conditioned latent diffusion model fine-tuned on the WikiArt dataset. You can find more information on this model on the [model card](https://huggingface.co/huggan/distill-ccld-wa). According to the [Latent Diffusion paper](https://arxiv.org/abs/2112.10752): \"Deep learning modules tend to reproduce or exacerbate biases that are already present in the data\".'
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  )
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  iface.launch(enable_queue=True) # , debug=True for colab debugging
 
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  examples=[["An iceberg, oil on canvas"],["A martian landscape, in the style of Monet"], ['A peaceful meadow, pastel crayons'], ["A painting of a vase of flowers"], ["A ship leaving the port in the summer, oil on canvas"]],
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  title='Generate art from text prompts :',
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  description="By typing a text prompt or providing an image prompt, and pressing submit you can generate images based on this prompt. The model was trained on images from the [WikiArt](https://huggingface.co/datasets/huggan/wikiart) dataset, comprised mostly of paintings.",
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+ article = 'The model is a distilled version of a cloob-conditioned latent diffusion model fine-tuned on the WikiArt dataset. You can find more information on this model on the [model card](https://huggingface.co/huggan/distill-ccld-wa)..'
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  )
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  iface.launch(enable_queue=True) # , debug=True for colab debugging