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End of training

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.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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README.md ADDED
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+ ---
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+ base_model: Manojb/stable-diffusion-2-base
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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+ inference: true
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+ instance_prompt: a photo of sks person
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+ tags:
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ - diffusers-training
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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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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+ # LoRA DreamBooth - dsgesd32/lora-trained-sd2-chim
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+
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+ These are LoRA adaption weights for Manojb/stable-diffusion-2-base. The weights were trained on a photo of sks person using [DreamBooth](https://dreambooth.github.io/). 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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+
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+ LoRA for the text encoder was enabled: False.
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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: 0.01
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+ allow_tf32: false
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+ image_interpolation_mode: lanczos
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+ instance_data_dir: chim0
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+ instance_prompt: a photo of sks person
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+ learning_rate: 0.0001
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+ local_rank: -1
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+ logging_dir: logs
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+ lora_dropout: 0.0
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_steps: 500
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+ mixed_precision: fp16
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+ num_class_images: 100
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+ num_train_epochs: 500
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+ num_validation_images: 4
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+ output_dir: lora-trained-sd2-chim
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: Manojb/stable-diffusion-2-base
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+ lr_power: 1.0
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