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trained-sd3-lora

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Diffusers
TensorBoard
diffusers-training
lora
sd3
sd3-diffusers
template:sd-lora
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End of training

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  1. .gitattributes +4 -0
  2. README.md +72 -0
  3. checkpoint-500/optimizer.bin +3 -0
  4. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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README.md ADDED
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+ ---
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+ base_model: stabilityai/stable-diffusion-3-medium-diffusers
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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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+ - diffusers-training
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+ - diffusers
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+ - lora
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+ - sd3
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+ - sd3-diffusers
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+ - template:sd-lora
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+ instance_prompt: a photo of sks dog
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+ widget:
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+ - text: A photo of sks dog in a bucket
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+ output:
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+ url: image_0.png
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+ - text: A photo of sks dog in a bucket
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+ output:
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+ url: image_1.png
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+ - text: A photo of sks dog in a bucket
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+ output:
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+ url: image_2.png
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+ - text: A photo of sks dog in a bucket
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+ output:
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+ url: image_3.png
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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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+ # SD3 DreamBooth LoRA - lovelyjaban/trained-sd3-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 lovelyjaban/trained-sd3-lora DreamBooth weights for stabilityai/stable-diffusion-3-medium-diffusers.
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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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+ ## Trigger words
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+
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+ You should use a photo of sks dog to trigger the image generation.
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+
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+ ## Download model
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+
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+ [Download](lovelyjaban/trained-sd3-lora/tree/main) them in the Files & versions tab.
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+
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+ ## License
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+
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+ Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE).
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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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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.0001
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+ adam_weight_decay_text_encoder: 0.001
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+ allow_tf32: false
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+ gradient_checkpointing: false
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+ image_column: image
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+ instance_data_dir: dog
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+ instance_prompt: a photo of sks dog
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+ learning_rate: 1.0e-05
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+ local_rank: -1
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+ logging_dir: logs
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+ logit_mean: 0.0
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+ mixed_precision: fp16
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+ mode_scale: 1.29
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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: trained-sd3-lora
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+ sample_batch_size: 4
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+ text_encoder_lr: 5.0e-06
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+ train_batch_size: 1
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+ train_text_encoder: false
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+ validation_prompt: A photo of sks dog in a bucket
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+ variant: null
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+ weighting_scheme: logit_normal
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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: trained-sd3-lora
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