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End of training

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  1. README.md +23 -0
  2. checkpoint-1000/optimizer.bin +3 -0
  3. checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-1000/random_states_0.pkl +3 -0
  5. checkpoint-1000/scaler.pt +3 -0
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  23. checkpoint-2500/pytorch_lora_weights.safetensors +3 -0
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  25. checkpoint-2500/scaler.pt +3 -0
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  27. checkpoint-3000/optimizer.bin +3 -0
  28. checkpoint-3000/pytorch_lora_weights.safetensors +3 -0
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  30. checkpoint-3000/scaler.pt +3 -0
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  32. checkpoint-3500/optimizer.bin +3 -0
  33. checkpoint-3500/pytorch_lora_weights.safetensors +3 -0
  34. checkpoint-3500/random_states_0.pkl +3 -0
  35. checkpoint-3500/scaler.pt +3 -0
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  37. checkpoint-4000/optimizer.bin +3 -0
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  43. checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  44. checkpoint-4500/random_states_0.pkl +3 -0
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  47. checkpoint-500/optimizer.bin +3 -0
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README.md ADDED
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+
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+ ---
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+ license: openrail++
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: a close up photo of carmine red Cayenne9YAAI1 car
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-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 DreamBooth - karthickp6/SDXL_Cayenne9YAAI1_2e4
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+
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+ These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a close up photo of carmine red Cayenne9YAAI1 car using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+ LoRA for the text encoder was enabled: False.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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