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Text-to-Image
Diffusers
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stable-diffusion
stable-diffusion-diffusers
lora
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rrw23 commited on
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End of training

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Files changed (27) hide show
  1. README.md +21 -0
  2. checkpoint-10000/optimizer.bin +3 -0
  3. checkpoint-10000/pytorch_model.bin +3 -0
  4. checkpoint-10000/random_states_0.pkl +3 -0
  5. checkpoint-10000/scaler.pt +3 -0
  6. checkpoint-10000/scheduler.bin +3 -0
  7. checkpoint-3000/optimizer.bin +3 -0
  8. checkpoint-3000/pytorch_model.bin +3 -0
  9. checkpoint-3000/random_states_0.pkl +3 -0
  10. checkpoint-3000/scaler.pt +3 -0
  11. checkpoint-3000/scheduler.bin +3 -0
  12. checkpoint-6000/optimizer.bin +3 -0
  13. checkpoint-6000/pytorch_model.bin +3 -0
  14. checkpoint-6000/random_states_0.pkl +3 -0
  15. checkpoint-6000/scaler.pt +3 -0
  16. checkpoint-6000/scheduler.bin +3 -0
  17. image_0.png +0 -0
  18. image_1.png +0 -0
  19. image_2.png +0 -0
  20. image_3.png +0 -0
  21. logs/text2image-fine-tune/1701212165.9925437/events.out.tfevents.1701212165.06443603d9c4.6504.1 +3 -0
  22. logs/text2image-fine-tune/1701212165.995505/hparams.yml +50 -0
  23. logs/text2image-fine-tune/1701212584.124752/events.out.tfevents.1701212584.06443603d9c4.8398.1 +3 -0
  24. logs/text2image-fine-tune/1701212584.1265583/hparams.yml +49 -0
  25. logs/text2image-fine-tune/events.out.tfevents.1701212165.06443603d9c4.6504.0 +3 -0
  26. logs/text2image-fine-tune/events.out.tfevents.1701212584.06443603d9c4.8398.0 +3 -0
  27. 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: runwayml/stable-diffusion-v1-5
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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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 - rrw23/train9
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the pcuenq/oxford-pets 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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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.01
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+ allow_tf32: false
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+ dataset_name: pcuenq/oxford-pets
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