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CODEX_LoRA-v2

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End of training

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Files changed (15) hide show
  1. README.md +21 -0
  2. checkpoint-500/optimizer.bin +3 -0
  3. checkpoint-500/pytorch_lora_weights.safetensors +3 -0
  4. checkpoint-500/random_states_0.pkl +3 -0
  5. checkpoint-500/scheduler.bin +3 -0
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt: <class 'str'>
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+ tags:
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+ - if
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+ - if-diffusers
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ inference: true
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+ ---
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+
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+ # LoRA DreamBooth - alfredolozano/CODEX_LoRA-v2
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+
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on <class 'str'> 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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+ 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: <AG20K> microscopic organism
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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: true
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+ hub_model_id: null
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+ instance_data_dir: /content/drive/MyDrive/CODEX_LoRa/v2-images/training_organism
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+ instance_prompt: <AG20K> microscopic organism
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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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+ 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: 800
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+ mixed_precision: null
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+ num_class_images: 200
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+ num_train_epochs: 27
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+ num_validation_images: 4
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+ output_dir: /content/CODEX_LoRA-v2
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+ pre_compute_text_embeddings: false
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+ pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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+ adam_beta1: 0.9
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+ adam_epsilon: 1.0e-08
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