End of training
Browse files- README.md +44 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- logs/text2image-fine-tune/1751913390.5190005/events.out.tfevents.1751913390.r-nroggendorff-train-lora-q1pwl846-c77fb-or5up.134.1 +3 -0
- logs/text2image-fine-tune/1751913390.5203774/hparams.yml +53 -0
- logs/text2image-fine-tune/events.out.tfevents.1751913390.r-nroggendorff-train-lora-q1pwl846-c77fb-or5up.134.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: glides/bluepencilxl
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-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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---
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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 - nroggendorff/fry-lora
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These are LoRA adaption weights for glides/bluepencilxl. The weights were fine-tuned on the nroggendorff/fries dataset. You can find some example images in the following.
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LoRA for the text encoder was enabled: False.
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Special VAE used for training: None.
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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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checkpoint-500/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a089ae8e9d0ca1084bfc0222d28e1b641c9d9cb05482fb19dc2735b3cf23645b
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size 47393347
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checkpoint-500/pytorch_lora_weights.safetensors
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size 23390424
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checkpoint-500/random_states_0.pkl
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size 14757
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checkpoint-500/scaler.pt
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size 1383
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checkpoint-500/scheduler.bin
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size 1401
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logs/text2image-fine-tune/1751913390.5190005/events.out.tfevents.1751913390.r-nroggendorff-train-lora-q1pwl846-c77fb-or5up.134.1
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version https://git-lfs.github.com/spec/v1
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logs/text2image-fine-tune/1751913390.5203774/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: 0
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dataset_config_name: null
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dataset_name: nroggendorff/fries
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debug_loss: false
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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: 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: 500
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mixed_precision: fp16
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noise_offset: 0
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num_train_epochs: 63
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num_validation_images: 4
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output_dir: fry-lora
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prediction_type: null
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pretrained_model_name_or_path: glides/bluepencilxl
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pretrained_vae_model_name_or_path: null
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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: 1024
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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: 8
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train_data_dir: null
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train_text_encoder: false
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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.1751913390.r-nroggendorff-train-lora-q1pwl846-c77fb-or5up.134.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a747291dc7dc70bbf906f592d7976aee7aaca625be331a204f610f8768201f3
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size 24461
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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 23390424
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