Instructions to use BlinkDL/clip-guided-binary-autoencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RWKV
How to use BlinkDL/clip-guided-binary-autoencoder with RWKV:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -7,6 +7,4 @@ This model can encode 224x224 RGB image into 28x28x13bit (1274 bytes) latent. Th
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12M params for Encoder + Decoder.
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Trained on LAION-Aesthetics V2 5+ for 238M images.
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Guided by https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K (it's great. better than OpenAI CLIP B/32) and https://github.com/dingkeyan93/DISTS. No GAN loss.
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(still training. final checkpt will be better)
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12M params for Encoder + Decoder.
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Trained on LAION-Aesthetics V2 5+ for 238M images.
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Guided by https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K (it's great. better than OpenAI CLIP B/32) and https://github.com/dingkeyan93/DISTS. No GAN loss.
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