End of training
Browse files- .gitattributes +4 -0
- .gitignore +2 -0
- README.md +22 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora/1675001769.0647368/events.out.tfevents.1675001769.autodl-container-726f11aeae-983a0e7b.22666.1 +3 -0
- logs/dreambooth-lora/1675001769.0673018/hparams.yml +48 -0
- logs/dreambooth-lora/events.out.tfevents.1675001769.autodl-container-726f11aeae-983a0e7b.22666.0 +3 -0
- pytorch_lora_weights.bin +3 -0
.gitattributes
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.gitignore
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step_*
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epoch_*
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README.md
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---
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license: creativeml-openrail-m
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base_model: /root/autodl-tmp/sd_weights/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf
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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 DreamBooth - jianleo/lora_ruhua_sd_05k
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These are LoRA adaption weights for /root/autodl-tmp/sd_weights/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf. The weights were trained on a photo of rha woman using [DreamBooth](https://dreambooth.github.io/). 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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Git LFS Details
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image_1.png
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Git LFS Details
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image_2.png
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Git LFS Details
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image_3.png
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Git LFS Details
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logs/dreambooth-lora/1675001769.0647368/events.out.tfevents.1675001769.autodl-container-726f11aeae-983a0e7b.22666.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c4983fe5fea08f099d775509e0840acc76c94cefeeae6df971fb77f54f995d1
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size 2500
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logs/dreambooth-lora/1675001769.0673018/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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center_crop: false
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checkpointing_steps: 10000
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class_data_dir: null
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class_prompt: null
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dataloader_num_workers: 0
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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gradient_checkpointing: false
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hub_model_id: null
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hub_token: null
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instance_data_dir: /root/autodl-tmp/sd_data/ruhua
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instance_prompt: a photo of rha woman
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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_num_cycles: 1
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lr_power: 1.0
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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_steps: 500
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mixed_precision: null
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num_class_images: 100
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num_train_epochs: 39
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num_validation_images: 4
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output_dir: /root/autodl-tmp/sd_weights/lora_ruhua_sd_05k
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pretrained_model_name_or_path: /root/autodl-tmp/sd_weights/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf
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prior_generation_precision: null
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prior_loss_weight: 1.0
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push_to_hub: 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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sample_batch_size: 4
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scale_lr: false
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seed: 0
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tokenizer_name: null
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train_batch_size: 1
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use_8bit_adam: false
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validation_epochs: 50
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validation_prompt: a photo of rha woman in a bucket
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with_prior_preservation: false
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logs/dreambooth-lora/events.out.tfevents.1675001769.autodl-container-726f11aeae-983a0e7b.22666.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:388793abcb80e0418fc8d91bef9de24e5c121f0994d129899fd279587867f4d4
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size 4193501
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pytorch_lora_weights.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:075ef659ec1bb322e94acc52897cf136ea1150fecc4bb8aa03d6d4b64778c793
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size 3287771
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