End of training
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- Alice_lora_e100/README.md +21 -0
- Alice_lora_e100/checkpoint-100/optimizer.bin +3 -0
- Alice_lora_e100/checkpoint-100/pytorch_model.bin +3 -0
- Alice_lora_e100/checkpoint-100/random_states_0.pkl +3 -0
- Alice_lora_e100/checkpoint-100/scaler.pt +3 -0
- Alice_lora_e100/checkpoint-100/scheduler.bin +3 -0
- Alice_lora_e100/checkpoint-50/optimizer.bin +3 -0
- Alice_lora_e100/checkpoint-50/pytorch_model.bin +3 -0
- Alice_lora_e100/checkpoint-50/random_states_0.pkl +3 -0
- Alice_lora_e100/checkpoint-50/scaler.pt +3 -0
- Alice_lora_e100/checkpoint-50/scheduler.bin +3 -0
- Alice_lora_e100/image_0.png +0 -0
- Alice_lora_e100/image_1.png +0 -0
- Alice_lora_e100/image_2.png +0 -0
- Alice_lora_e100/image_3.png +0 -0
- Alice_lora_e100/logs/text2image-fine-tune/1682167388.446658/events.out.tfevents.1682167388.791b3c4d2d17.4213.1 +3 -0
- Alice_lora_e100/logs/text2image-fine-tune/1682167388.4564931/hparams.yml +46 -0
- Alice_lora_e100/logs/text2image-fine-tune/1682167532.3258302/events.out.tfevents.1682167532.791b3c4d2d17.5026.1 +3 -0
- Alice_lora_e100/logs/text2image-fine-tune/1682167532.3344898/hparams.yml +46 -0
- Alice_lora_e100/logs/text2image-fine-tune/events.out.tfevents.1682167388.791b3c4d2d17.4213.0 +3 -0
- Alice_lora_e100/logs/text2image-fine-tune/events.out.tfevents.1682167532.791b3c4d2d17.5026.0 +3 -0
- Alice_lora_e100/pytorch_lora_weights.bin +3 -0
- README.md +21 -0
- checkpoint-100/optimizer.bin +3 -0
- checkpoint-100/pytorch_model.bin +3 -0
- checkpoint-100/random_states_0.pkl +3 -0
- checkpoint-100/scaler.pt +3 -0
- checkpoint-100/scheduler.bin +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/pytorch_model.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/pytorch_model.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scaler.pt +3 -0
- checkpoint-250/scheduler.bin +3 -0
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/pytorch_model.bin +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scaler.pt +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-400/optimizer.bin +3 -0
- checkpoint-400/pytorch_model.bin +3 -0
Alice_lora_e100/README.md
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---
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license: creativeml-openrail-m
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base_model: runwayml/stable-diffusion-v1-5
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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 - brathief/Alice_extend_brathief_e100
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These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the None 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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Alice_lora_e100/checkpoint-100/optimizer.bin
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Alice_lora_e100/image_3.png
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Alice_lora_e100/logs/text2image-fine-tune/1682167388.4564931/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: 50
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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: null
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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: Alice_extend_brathief_e100
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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: fp16
|
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noise_offset: 0
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num_train_epochs: 8
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num_validation_images: 4
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output_dir: /content/drive/MyDrive/lora
|
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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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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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train_batch_size: 4
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train_data_dir: /content/drive/MyDrive/dataset-diff/alice_img_data
|
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use_8bit_adam: false
|
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validation_epochs: 100
|
46 |
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validation_prompt: Alice play golf with hatter
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Alice_lora_e100/logs/text2image-fine-tune/1682167532.3344898/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: 50
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checkpoints_total_limit: null
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dataloader_num_workers: 2
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dataset_config_name: null
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dataset_name: null
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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: Alice_extend_brathief_e100
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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: fp16
|
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noise_offset: 0
|
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num_train_epochs: 4
|
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num_validation_images: 4
|
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output_dir: /content/drive/MyDrive/lora
|
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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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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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train_batch_size: 2
|
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train_data_dir: /content/drive/MyDrive/dataset-diff/alice_img_data
|
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+
use_8bit_adam: false
|
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validation_epochs: 100
|
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validation_prompt: Alice play golf with hatter
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Alice_lora_e100/logs/text2image-fine-tune/events.out.tfevents.1682167388.791b3c4d2d17.4213.0
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README.md
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---
|
3 |
+
license: creativeml-openrail-m
|
4 |
+
base_model: runwayml/stable-diffusion-v1-5
|
5 |
+
tags:
|
6 |
+
- stable-diffusion
|
7 |
+
- stable-diffusion-diffusers
|
8 |
+
- text-to-image
|
9 |
+
- diffusers
|
10 |
+
- lora
|
11 |
+
inference: true
|
12 |
+
---
|
13 |
+
|
14 |
+
# LoRA text2image fine-tuning - brathief/wwoo_1000_lora
|
15 |
+
These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the None dataset. You can find some example images in the following.
|
16 |
+
|
17 |
+
![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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checkpoint-100/optimizer.bin
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