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talhaturab
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lora-dreambooth-model

Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Model card Files
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 Metrics Community
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End of training

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Files changed (14) hide show
  1. README.md +43 -0
  2. logs/dreambooth-lora/1719946748.486196/events.out.tfevents.1719946748.0ee0a631f27e.2465.1 +3 -0
  3. logs/dreambooth-lora/1719946748.4893668/hparams.yml +56 -0
  4. logs/dreambooth-lora/1719947707.7660003/events.out.tfevents.1719947707.0ee0a631f27e.2465.3 +3 -0
  5. logs/dreambooth-lora/1719947707.7678406/hparams.yml +56 -0
  6. logs/dreambooth-lora/1719948080.9907646/events.out.tfevents.1719948080.0ee0a631f27e.2465.5 +3 -0
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  11. logs/dreambooth-lora/events.out.tfevents.1719947707.0ee0a631f27e.2465.2 +3 -0
  12. logs/dreambooth-lora/events.out.tfevents.1719948080.0ee0a631f27e.2465.4 +3 -0
  13. logs/dreambooth-lora/events.out.tfevents.1719948309.0ee0a631f27e.9234.0 +3 -0
  14. pytorch_lora_weights.safetensors +3 -0
README.md ADDED
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+ ---
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+ base_model: CompVis/stable-diffusion-v1-4
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+ library_name: diffusers
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+ license: creativeml-openrail-m
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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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+ inference: true
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+ instance_prompt: a photo of a maxttcat cat
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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 - talhaturab/lora-dreambooth-model
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+
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+ These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on a photo of a maxttcat cat using [DreamBooth](https://dreambooth.github.io/). You can find some example images in the following.
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+
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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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+ center_crop: false
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+ checkpointing_steps: 500
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+ checkpoints_total_limit: null
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+ class_data_dir: null
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+ class_labels_conditioning: null
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+ class_prompt: null
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+ dataloader_num_workers: 0
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: false
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+ hub_model_id: null
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+ hub_token: null
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+ instance_data_dir: ttcat
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+ instance_prompt: a photo of a maxttcat cat
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+ learning_rate: 0.0005
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+ local_rank: -1
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+ logging_dir: logs
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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: 500
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+ max_grad_norm: 1.0
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+ max_train_steps: 5
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+ mixed_precision: null
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+ num_class_images: 100
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+ num_train_epochs: 1
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+ num_validation_images: 4
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+ output_dir: lora-dreambooth-model
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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+ prior_generation_precision: null
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+ prior_loss_weight: 1.0
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+ push_to_hub: false
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+ rank: 4
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+ report_to: tensorboard
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+ resolution: 512
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+ resume_from_checkpoint: null
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+ use_8bit_adam: false
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+ validation_epochs: 50
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+ validation_prompt: null
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+ variant: null
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+ with_prior_preservation: false
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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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+ hub_token: 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
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+ instance_data_dir: ttcat
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+ instance_prompt: a photo of a maxttcat cat
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+ learning_rate: 0.0005
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+ local_rank: -1
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+ logging_dir: logs
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ max_grad_norm: 1.0
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+ mixed_precision: null
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+ num_class_images: 100
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+ num_train_epochs: 1
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+ num_validation_images: 4
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+ output_dir: lora-dreambooth-model
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+ adam_beta1: 0.9
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