yateronald
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End of training
Browse files- README.md +39 -0
- logs/text2image-fine-tune/1722157839.1755583/events.out.tfevents.1722157839.bb8d5d46dcdb.29446.1 +3 -0
- logs/text2image-fine-tune/1722157839.1773188/hparams.yml +50 -0
- logs/text2image-fine-tune/events.out.tfevents.1722157839.bb8d5d46dcdb.29446.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: CompVis/stable-diffusion-v1-2
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library_name: diffusers
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license: creativeml-openrail-m
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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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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 - yateronald/output7
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These are LoRA adaption weights for CompVis/stable-diffusion-v1-2. The weights were fine-tuned on the Ali-fb/martin_valen_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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logs/text2image-fine-tune/1722157839.1755583/events.out.tfevents.1722157839.bb8d5d46dcdb.29446.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:d793608006a61dd357659c5c78a91a0f3acb97636b7617a8cd396d16825438d4
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size 2126
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logs/text2image-fine-tune/1722157839.1773188/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: 100000
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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: Ali-fb/martin_valen_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: true
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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: 1.0e-06
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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: 5
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mixed_precision: null
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noise_offset: 0
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num_train_epochs: 2
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num_validation_images: 4
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output_dir: output7
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prediction_type: null
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-2
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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: null
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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: null
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variant: null
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logs/text2image-fine-tune/events.out.tfevents.1722157839.bb8d5d46dcdb.29446.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2bc68314c1bb27bfd8d8ae1cd29fd1d108ef801022db5e6f7532a273e0681be7
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size 328
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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:c85fd162ecf15a33a5f5e7867a86c961ee6bbc64f86e4d4694c6064612c64213
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size 3226184
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