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End of training

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  1. README.md +37 -0
  2. checkpoint-100/optimizer.bin +3 -0
  3. checkpoint-100/pytorch_scedit_weights.safetensors +3 -0
  4. checkpoint-100/random_states_0.pkl +3 -0
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  23. checkpoint-400/pytorch_scedit_weights.safetensors +3 -0
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  31. checkpoint-500/scheduler.bin +3 -0
  32. checkpoint-600/optimizer.bin +3 -0
  33. checkpoint-600/pytorch_scedit_weights.safetensors +3 -0
  34. checkpoint-600/random_states_0.pkl +3 -0
  35. checkpoint-600/scaler.pt +3 -0
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  37. checkpoint-700/optimizer.bin +3 -0
  38. checkpoint-700/pytorch_scedit_weights.safetensors +3 -0
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  42. checkpoint-800/optimizer.bin +3 -0
  43. checkpoint-800/pytorch_scedit_weights.safetensors +3 -0
  44. checkpoint-800/random_states_0.pkl +3 -0
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  46. checkpoint-800/scheduler.bin +3 -0
  47. pytorch_scedit_weights.safetensors +3 -0
README.md ADDED
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+
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+ ---
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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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+ - scedit
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+ - template:sd-lora
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+
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: a photo of sbu dog
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+ license: openrail++
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+ ---
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+
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+ # SDXL SCEdit DreamBooth - mkshing/scedit-trained-xl
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are mkshing/scedit-trained-xl SC-Tuner adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/).
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+
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+ Special VAE used for training: None.
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+
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+ ## Trigger words
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+
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+ You should use a photo of sbu dog to trigger the image generation.
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](mkshing/scedit-trained-xl/tree/main) them in the Files & versions tab.
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+
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