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Browse files- README.md +63 -0
- boldlinemanga.safetensors +3 -0
- logs/dreambooth-lora-sd-xl/1723392153.4869058/events.out.tfevents.1723392153.r-chan-y-autotrain-boldlinemanga-1tm6xrl6-73bf8-1shu6.196.1 +3 -0
- logs/dreambooth-lora-sd-xl/1723392153.4882536/hparams.yml +75 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1723392153.r-chan-y-autotrain-boldlinemanga-1tm6xrl6-73bf8-1shu6.196.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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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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- lora
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- template:sd-lora
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widget:
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- text: 'in the style of TOK'
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: in the style of TOK
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license: openrail++
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---
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# SDXL LoRA DreamBooth - boldlinemanga
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<Gallery />
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## Model description
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### These are boldlinemanga LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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## Download model
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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- **LoRA**: download **[`boldlinemanga.safetensors` here 💾](/boldlinemanga/blob/main/boldlinemanga.safetensors)**.
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- Place it on your `models/Lora` folder.
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- On AUTOMATIC1111, load the LoRA by adding `<lora:boldlinemanga:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('boldlinemanga', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('in the style of TOK').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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## Trigger words
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You should use in the style of TOK to trigger the image generation.
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## Details
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All [Files & versions](/boldlinemanga/tree/main).
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The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
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LoRA for the text encoder was enabled. True.
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Pivotal tuning was enabled: False.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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boldlinemanga.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd432e643cd3e85a5f1def9d654f0ed78fa696915c7c2f2528d0253b3bf16231
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size 237421752
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logs/dreambooth-lora-sd-xl/1723392153.4869058/events.out.tfevents.1723392153.r-chan-y-autotrain-boldlinemanga-1tm6xrl6-73bf8-1shu6.196.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:681ce72a03fe2dbaaf6ed2dccd3b05ed3cab4779a5c4338c998d642e041d9403
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size 3608
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logs/dreambooth-lora-sd-xl/1723392153.4882536/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: 0.0001
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adam_weight_decay_text_encoder: null
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allow_tf32: false
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cache_dir: null
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cache_latents: true
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caption_column: prompt
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center_crop: false
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checkpointing_steps: 100000
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checkpoints_total_limit: null
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class_data_dir: null
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class_prompt: null
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crops_coords_top_left_h: 0
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crops_coords_top_left_w: 0
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: ./cc5cbcaf-a23b-4e68-8aaa-7e851396413a
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 1
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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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instance_data_dir: null
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instance_prompt: in the style of TOK
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learning_rate: 0.0005
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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: 3000
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mixed_precision: bf16
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noise_offset: 0
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num_class_images: 100
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num_new_tokens_per_abstraction: 2
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num_train_epochs: 9
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num_validation_images: 4
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optimizer: adamW
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output_dir: boldlinemanga
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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: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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prodigy_beta3: null
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prodigy_decouple: true
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prodigy_safeguard_warmup: true
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prodigy_use_bias_correction: true
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push_to_hub: false
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rank: 32
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repeats: 12
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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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sample_batch_size: 4
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scale_lr: false
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seed: 42
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snr_gamma: 5.0
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text_encoder_lr: 5.0e-05
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token_abstraction: TOK
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train_batch_size: 2
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train_text_encoder: true
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train_text_encoder_frac: 0.2
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train_text_encoder_ti: false
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train_text_encoder_ti_frac: 0.5
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use_8bit_adam: false
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validation_epochs: 50
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validation_prompt: null
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variant: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1723392153.r-chan-y-autotrain-boldlinemanga-1tm6xrl6-73bf8-1shu6.196.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:8845624cfa4c4823bb6ec4697cf8d2211e45c741bf9eccd9526b6193b2476773
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size 251834
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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 sha256:7fb3060f237a463bddf7ce428fec92485d73200a3338958bc72e7988b9a4ebed
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size 237400944
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