End of training
Browse files- README.md +45 -0
- image_0.png +0 -0
- logs/text2image-fine-tune/1742112016.7188375/events.out.tfevents.1742112016.bdd69667a29a.82.1 +3 -0
- logs/text2image-fine-tune/1742112016.7216706/hparams.yml +54 -0
- logs/text2image-fine-tune/events.out.tfevents.1742112016.bdd69667a29a.82.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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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 - Vimax97/fluxRender_v1
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were fine-tuned on the Vimax97/flux_1024_10k 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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image_0.png
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logs/text2image-fine-tune/1742112016.7188375/events.out.tfevents.1742112016.bdd69667a29a.82.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8022309291c8f7daf565f59e2a733b68731cc2808c6886052c0c54bdc2cb41b
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size 2546
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logs/text2image-fine-tune/1742112016.7216706/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: 2000
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checkpoints_total_limit: 1
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dataloader_num_workers: 1
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dataset_config_name: null
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dataset_name: Vimax97/flux_1024_10k
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debug_loss: false
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enable_npu_flash_attention: false
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 6
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gradient_checkpointing: true
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hub_model_id: fluxRender_v1
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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: 0
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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: 1500
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mixed_precision: fp16
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noise_offset: 0
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num_train_epochs: 2
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num_validation_images: 1
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output_dir: ./output
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prediction_type: null
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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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: 32
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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: 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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train_text_encoder: false
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use_8bit_adam: true
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validation_epochs: 1000000
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validation_prompt: ''
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variant: null
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logs/text2image-fine-tune/events.out.tfevents.1742112016.bdd69667a29a.82.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:05a89aa544cb9326c284faf817ceeba17a8509019b159c9d511dc88079feb4e0
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size 76647
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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:c25a0d6a7d5f84daaf59447244a23a824c7d348b667d676c1f51eab92962dea4
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size 185963768
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