[GH-ISSUE #218] How do I train CLIP with my Custom Image Dataset on top of current model ? #190

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opened 2026-10-31 21:12:13 +00:00 by bsakaguchi · 1 comment
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Originally created by @Unmesh28 on GitHub (Feb 18, 2022).
Original GitHub issue: https://github.com/openai/CLIP/issues/218

  • I want to use CLIP for text to art using VQGAN.
  • Planning to provide custom dataset to it [dataset : different painting styles of different artists ]
  • If we send a prompt + style = "A girl playing on the beach" + "Thomas Kinkade" , then it should return art of the prompt in style of Thomas Kinkade.

How do I train such a model on the top of existing one ?

Originally created by @Unmesh28 on GitHub (Feb 18, 2022). Original GitHub issue: https://github.com/openai/CLIP/issues/218 - I want to use CLIP for text to art using VQGAN. - Planning to provide custom dataset to it [dataset : different painting styles of different artists ] - If we send a prompt + style = "A girl playing on the beach" + "Thomas Kinkade" , then it should return art of the prompt in style of Thomas Kinkade. How do I train such a model on the top of existing one ?
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@jongwook commented on GitHub (Apr 11, 2022):

For fine-tuning, you could follow the training tips mentioned in #83, but your mileage may vary depending on the datasets, hyperparameters etc.

Image generation is out of scope of this repo, refer to other CLIP+VQGAN-related resources available on the internet.

<!-- gh-comment-id:1094446584 --> @jongwook commented on GitHub (Apr 11, 2022): For fine-tuning, you could follow the training tips mentioned in #83, but your mileage may vary depending on the datasets, hyperparameters etc. Image generation is out of scope of this repo, refer to other CLIP+VQGAN-related resources available on the internet.
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openai/CLIP#190
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