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whydelete
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corgy_dog_LoRA

Text-to-Image
Diffusers
TensorBoard
StableDiffusionXLPipeline
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Model card Files
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End of training

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  1. README.md +62 -0
  2. logs/dreambooth-lora-sd-xl/1720719719.3077567/events.out.tfevents.1720719719.7007db7ce53f.1310.1 +3 -0
  3. logs/dreambooth-lora-sd-xl/1720719719.309845/hparams.yml +70 -0
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  15. logs/dreambooth-lora-sd-xl/events.out.tfevents.1720720816.7007db7ce53f.7542.0 +3 -0
  16. logs/dreambooth-lora-sd-xl/events.out.tfevents.1720724780.7007db7ce53f.24273.0 +3 -0
  17. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ library_name: diffusers
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+ license: openrail++
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+ tags:
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+ - text-to-image
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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ - dora
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+ - template:sd-lora
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ instance_prompt: a photo of TOK dog
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+ widget: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # SDXL LoRA DreamBooth - whydelete/corgy_dog_LoRA
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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 whydelete/corgy_dog_LoRA LoRA 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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+ 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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+
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+ ## Trigger words
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+
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+ You should use a photo of TOK 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](whydelete/corgy_dog_LoRA/tree/main) them in the Files & versions tab.
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+
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
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+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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+ adam_beta1: 0.9
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+ lr_num_cycles: 1
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+ num_class_images: 100
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+ num_train_epochs: 250
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+ num_validation_images: 4
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+ optimizer: AdamW
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+ output_dir: corgy_dog_LoRA
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+ output_kohya_format: false
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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+ snr_gamma: 5.0
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+ text_encoder_lr: 5.0e-06
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