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kandinsky_2.2_decoder_lora_pokemon

Text-to-Image
Diffusers
kandinsky
lora
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End of training

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Files changed (16) hide show
  1. README.md +20 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_model.bin +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scaler.pt +3 -0
  6. checkpoint-1000/scheduler.bin +3 -0
  7. checkpoint-500/optimizer.bin +3 -0
  8. checkpoint-500/pytorch_model.bin +3 -0
  9. checkpoint-500/random_states_0.pkl +3 -0
  10. checkpoint-500/scaler.pt +3 -0
  11. checkpoint-500/scheduler.bin +3 -0
  12. image_0.png +0 -0
  13. image_1.png +0 -0
  14. image_2.png +0 -0
  15. image_3.png +0 -0
  16. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: kandinsky-community/kandinsky-2-2-decoder
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+ tags:
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+ - kandinsky
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA text2image fine-tuning - YiYiXu/kandinsky_2.2_decoder_lora_pokemon
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+ These are LoRA adaption weights for kandinsky-community/kandinsky-2-2-decoder. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following.
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+
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+ ![img_0](./image_0.png)
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+ ![img_1](./image_1.png)
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+ ![img_2](./image_2.png)
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+ ![img_3](./image_3.png)
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+
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