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Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Inference Endpoints
Model card Files Metrics Community
briannlongzhao commited on
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End of training

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Files changed (12) hide show
  1. <new1>.bin +3 -0
  2. README.md +8 -3
  3. logs/custom-diffusion/1706351116.0329313/events.out.tfevents.1706351116.iLab1.2383922.1 +3 -0
  4. logs/custom-diffusion/1706351116.041045/hparams.yml +59 -0
  5. logs/custom-diffusion/1706351208.2886405/events.out.tfevents.1706351208.iLab1.2384318.1 +3 -0
  6. logs/custom-diffusion/1706351208.2977736/hparams.yml +59 -0
  7. logs/custom-diffusion/1706372935.9017093/events.out.tfevents.1706372935.iLab1.2440894.1 +3 -0
  8. logs/custom-diffusion/1706372935.9097664/hparams.yml +59 -0
  9. logs/custom-diffusion/events.out.tfevents.1706351116.iLab1.2383922.0 +3 -0
  10. logs/custom-diffusion/events.out.tfevents.1706351208.iLab1.2384318.0 +3 -0
  11. logs/custom-diffusion/events.out.tfevents.1706372935.iLab1.2440894.0 +3 -0
  12. pytorch_custom_diffusion_weights.bin +3 -0
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README.md CHANGED
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  ---
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  license: creativeml-openrail-m
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  base_model: stabilityai/stable-diffusion-2-1
 
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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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- - textual_inversion
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  inference: true
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  ---
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- # Textual inversion text2image fine-tuning - briannlongzhao/0
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- These are textual inversion adaption weights for stabilityai/stable-diffusion-2-1. You can find some example images in the following.
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  ---
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  license: creativeml-openrail-m
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  base_model: stabilityai/stable-diffusion-2-1
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+ instance_prompt: a photo of <new1>
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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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+ - custom-diffusion
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  inference: true
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  ---
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+ # Custom Diffusion - briannlongzhao/0
 
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+ These are Custom Diffusion adaption weights for stabilityai/stable-diffusion-2-1. The weights were trained on a photo of <new1> using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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+
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+
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+
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+ For more details on the training, please follow [this link](https://github.com/huggingface/diffusers/blob/main/examples/custom_diffusion).
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+ adam_beta1: 0.9
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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: 250
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+ checkpoints_total_limit: null
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+ class_data_dir: null
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+ class_name: American robin
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+ class_prompt: null
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+ concepts_list: null
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+ dataloader_num_workers: 2
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+ enable_xformers_memory_efficient_attention: false
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+ freeze_model: crossattn_kv
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: true
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+ hflip: true
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+ hub_model_id: null
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+ initializer_token: ktn+pll+ucd
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+ instance_data_dir: /lab/tmpig7b/u/brian-data/imagenet/images/train_small/n01558993
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+ instance_prompt: a photo of <new1>
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+ learning_rate: 1.0e-05
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+ local_rank: 0
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+ logging_dir: logs
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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: 250
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+ mixed_precision: fp16
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+ modifier_token: <new1>
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+ no_safe_serialization: true
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+ noaug: false
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+ num_class_images: 200
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+ num_train_epochs: 1
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+ num_validation_images: 2
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+ output_dir: custom_diffusion_models/0
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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+ prior_generation_precision: null
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+ prior_loss_weight: 1.0
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+ push_to_hub: false
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+ real_prior: false
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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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+ sample_batch_size: 4
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+ scale_lr: true
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+ seed: 42
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+ train_batch_size: 2
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+ use_8bit_adam: true
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+ validation_prompt: null
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+ validation_steps: 50
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+ with_prior_preservation: false
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+ wnid: n01558993
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+ class_prompt: null
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+ enable_xformers_memory_efficient_attention: false
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+ instance_data_dir: /lab/tmpig7b/u/brian-data/imagenet/images/train_small/n01558993
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+ instance_prompt: a photo of <new1>
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+ learning_rate: 1.0e-05
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+ local_rank: 0
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+ logging_dir: logs
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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: 250
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+ mixed_precision: fp16
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+ modifier_token: <new1>
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+ noaug: false
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+ num_class_images: 200
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+ num_train_epochs: 1
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+ num_validation_images: 2
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+ output_dir: custom_diffusion_models/0
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+ pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
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+ learning_rate: 1.0e-05
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+ local_rank: 0
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+ lr_scheduler: constant
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+ max_grad_norm: 1.0
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