End of training
Browse files- README.md +21 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-200/model.safetensors +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_lora_weights.safetensors +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-400/model.safetensors +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_lora_weights.safetensors +3 -0
- checkpoint-400/random_states_0.pkl +3 -0
- checkpoint-400/scheduler.bin +3 -0
- checkpoint-600/model.safetensors +3 -0
- checkpoint-600/optimizer.bin +3 -0
- checkpoint-600/pytorch_lora_weights.safetensors +3 -0
- checkpoint-600/random_states_0.pkl +3 -0
- checkpoint-600/scheduler.bin +3 -0
- checkpoint-800/model.safetensors +3 -0
- checkpoint-800/optimizer.bin +3 -0
- checkpoint-800/pytorch_lora_weights.safetensors +3 -0
- checkpoint-800/random_states_0.pkl +3 -0
- checkpoint-800/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/1705427689.5264707/events.out.tfevents.1705427689.d46bdd09ba1b.22223.1 +3 -0
- logs/text2image-fine-tune/1705427689.5454772/hparams.yml +51 -0
- logs/text2image-fine-tune/1705430987.8631608/events.out.tfevents.1705430987.d46bdd09ba1b.25571.1 +3 -0
- logs/text2image-fine-tune/1705430987.8830128/hparams.yml +51 -0
- logs/text2image-fine-tune/1705431007.2002146/events.out.tfevents.1705431007.d46bdd09ba1b.25656.1 +3 -0
- logs/text2image-fine-tune/1705431007.2251446/hparams.yml +51 -0
- logs/text2image-fine-tune/events.out.tfevents.1705427689.d46bdd09ba1b.22223.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1705430987.d46bdd09ba1b.25571.0 +3 -0
- logs/text2image-fine-tune/events.out.tfevents.1705431007.d46bdd09ba1b.25656.0 +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: Lykon/DreamShaper
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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 - paths1551/bq-ds-1024
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These are LoRA adaption weights for Lykon/DreamShaper. The weights were fine-tuned on the /workspace/belqua-finetune-big dataset. You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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image_0.png
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image_1.png
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image_3.png
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adam_weight_decay: 0.01
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dataset_name: /workspace/belqua-finetune-big
|
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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: paths1551/bq-ds-1024
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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: 1000
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mixed_precision: null
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noise_offset: 0
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num_train_epochs: 14
|
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num_validation_images: 4
|
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output_dir: /workspace/bq_ds_batch_1_res_1024
|
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prediction_type: null
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pretrained_model_name_or_path: Lykon/DreamShaper
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push_to_hub: true
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rank: 4
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report_to: tensorboard
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resolution: 1024
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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: robotic archangel in a baron desert landscape, abstract fantasy
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painting
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variant: null
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