End of training
Browse files- README.md +21 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/pytorch_model.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scaler.pt +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- logs/text2image-fine-tune/1698620370.7969484/events.out.tfevents.1698620370.6f60ffbbf866.2466.1 +3 -0
- logs/text2image-fine-tune/1698620370.7985678/hparams.yml +49 -0
- logs/text2image-fine-tune/events.out.tfevents.1698620370.6f60ffbbf866.2466.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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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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# LoRA text2image fine-tuning - howon92/magic-website-sd-model-lora
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-4. The weights were fine-tuned on the howon92/instant-design dataset. You can find some example images in the following.
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checkpoint-5000/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 6592122
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checkpoint-5000/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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checkpoint-5000/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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size 14344
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checkpoint-5000/scaler.pt
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version https://git-lfs.github.com/spec/v1
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size 988
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checkpoint-5000/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b2734d36d08357236113a0d0e82c9a606fbb22a775c8bb9049c19d997ef37430
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size 1000
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image_0.png
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image_1.png
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image_2.png
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image_3.png
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logs/text2image-fine-tune/1698620370.7969484/events.out.tfevents.1698620370.6f60ffbbf866.2466.1
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size 2238
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logs/text2image-fine-tune/1698620370.7985678/hparams.yml
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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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cache_dir: null
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caption_column: text
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center_crop: false
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checkpointing_steps: 5000
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: howon92/instant-design
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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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image_column: image
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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_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_samples: null
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max_train_steps: 9600
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mixed_precision: null
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noise_offset: 0
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num_train_epochs: 100
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num_validation_images: 4
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output_dir: magic-website-sd-model-lora
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prediction_type: null
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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push_to_hub: true
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random_flip: true
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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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revision: null
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scale_lr: false
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seed: 42
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snr_gamma: null
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train_batch_size: 1
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train_data_dir: null
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use_8bit_adam: false
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validation_epochs: 1
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validation_prompt: cute dragon creature
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logs/text2image-fine-tune/events.out.tfevents.1698620370.6f60ffbbf866.2466.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:a60f1c70f991db6ed85432ea356c515a85a6f6815a60ed4b969961a46fdd9642
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size 170247600
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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size 3227336
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