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End of training

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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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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-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 text2image fine-tuning - deepgoyal19/disney_lora1
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+ These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the None dataset. 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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+
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+
image_0.png ADDED
image_1.png ADDED
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log/text2image-fine-tune/1686813494.5542152/hparams.yml ADDED
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+ accelerate_device: cuda:4
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+ accelerate_local_process_index: 0
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+ accelerate_num_processes: 1
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+ accelerate_optimizer_step_was_skipped: false
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+ accelerate_process_index: 0
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+ accelerate_sync_gradients: true
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+ accelerate_use_distributed: 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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+ checkpointing_steps: 500
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+ checkpoints_total_limit: null
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+ disable_tqdm: false
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+ enable_xformers_memory_efficient_attention: true
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+ eval_dataset_path: null
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+ fp16_backend: auto
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+ fp16_opt_level: O1
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: true
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+ hub_model_id: disney_lora1
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+ hub_token: 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
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+ input_perturbation: 0
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+ learning_rate: 8.0e-06
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+ logging_dir: log
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+ lr_scheduler: cosine
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1
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+ max_train_samples: null
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+ max_train_steps: 100
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+ mixed_precision: fp16
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+ noise_offset: 1
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+ num_train_epochs: 50
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+ num_validation_images: 4
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+ output_dir: /home/deepanshu/lmflowdiff/Model
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+ push_to_hub: true
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+ report_to: tensorboard
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+ resume_from_checkpoint: latest
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+ save_steps: 1000
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+ save_total_limit: null
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+ scale_lr: false
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+ seed: 123
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+ snr_gamma: null
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+ tracker_project_name: text2image-fine-tune
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+ train_batch_size: 25
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+ use_8bit_adam: false
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+ validation_epochs: 10
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