End of training
Browse files- README.md +43 -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/1714072945.3471596/events.out.tfevents.1714072945.866256c5e31e.2308.1 +3 -0
- logs/text2image-fine-tune/1714072945.3489742/hparams.yml +55 -0
- logs/text2image-fine-tune/events.out.tfevents.1714072945.866256c5e31e.2308.0 +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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library_name: diffusers
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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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- diffusers-training
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- lora
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base_model: runwayml/stable-diffusion-v1-5
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inference: true
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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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# LoRA text2image fine-tuning - animanatwork/illustrations-lora
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the animanatwork/text_to_image_dataset dataset. You can find some example images in the following.
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## Intended uses & limitations
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#### How to use
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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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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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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/1714072945.3471596/events.out.tfevents.1714072945.866256c5e31e.2308.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:8de1782c3e3ff12e44df16143012a0b0a9cc8ddc3ad1de1dbdeeacee61796082
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size 2761
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logs/text2image-fine-tune/1714072945.3489742/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: true
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 8
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dataset_config_name: null
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dataset_name: animanatwork/text_to_image_dataset
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 4
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gradient_checkpointing: false
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hub_model_id: illustrations-lora
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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: cosine
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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: 100
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mixed_precision: null
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noise_offset: 0
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num_train_epochs: 5
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num_validation_images: 4
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output_dir: /sddata/finetune/lora/illustrations
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prediction_type: null
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pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
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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: 1337
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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: a stylized illustration of a woman sitting in a comfortable chair,
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reading a book. She is wearing a hat, and her expression appears focused and calm.
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A black cat is also depicted, sitting beside her and looking at the book, suggesting
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a shared moment of quiet and companionship. The woman is dressed in a casual outfit
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with yellow shoes, and the overall color scheme is simple, using black, white, and
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yellow. The setting seems cozy and peaceful, ideal for reading.
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variant: null
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logs/text2image-fine-tune/events.out.tfevents.1714072945.866256c5e31e.2308.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce81705ff9ebdad8a0048aa82aed91341e6e833064dcb7b7cc2404a8f849c311
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size 7308598
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pytorch_lora_weights.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec64c9e848b0296735735d36f7d65e478809b6a04d56b66d78924d798c6df849
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size 3226184
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