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End of training
Browse files- README.md +23 -0
- logs/dreambooth-lora-sd-xl/1695614505.968036/events.out.tfevents.1695614505.3182a7277d93.152.1 +3 -0
- logs/dreambooth-lora-sd-xl/1695614505.9707415/hparams.yml +53 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1695614505.3182a7277d93.152.0 +3 -0
- pytorch_lora_weights.safetensors +3 -0
README.md
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---
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license: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: a Dong Ho painting
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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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inference: true
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---
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# LoRA DreamBooth - albertengineer/lora-trained-xl-colab-dongho_1
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These are LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained on a Dong Ho painting using [DreamBooth](https://dreambooth.github.io/). 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: madebyollin/sdxl-vae-fp16-fix.
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logs/dreambooth-lora-sd-xl/1695614505.968036/events.out.tfevents.1695614505.3182a7277d93.152.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d3a257d96d73f9ce551458b8a4a6637c80fac0657755282882da68da26bab7a
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size 2757
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logs/dreambooth-lora-sd-xl/1695614505.9707415/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: 717
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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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enable_xformers_memory_efficient_attention: true
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gradient_accumulation_steps: 2
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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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instance_data_dir: /kaggle/input/tranhdongho1/tranhdongho
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instance_prompt: a Dong Ho painting
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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: fp16
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num_class_images: 100
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num_train_epochs: 100
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num_validation_images: 4
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output_dir: lora-trained-xl-colab-dongho_1
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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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push_to_hub: true
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rank: 4
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report_to: tensorboard
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resolution: 768
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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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train_batch_size: 2
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train_text_encoder: false
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use_8bit_adam: true
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validation_epochs: 50
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validation_prompt: null
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with_prior_preservation: false
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logs/dreambooth-lora-sd-xl/events.out.tfevents.1695614505.3182a7277d93.152.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc2b98e3ed8b2b32c4643fe45924ebee4521934176fb4ee86f79d1c654c5934
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size 83574
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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 sha256:84692b488e21a6f7070666b96f1e879784f4ad911d51b36c9e4266d2997c831d
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size 23401064
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