End of training
Browse files- <new1>.bin +3 -0
- <new2>.bin +3 -0
- <new3>.bin +3 -0
- <new4>.bin +3 -0
- README.md +22 -0
- checkpoint-1000/custom_checkpoint_0.pkl +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_model.bin +3 -0
- checkpoint-1000/pytorch_model_1.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-250/custom_checkpoint_0.pkl +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/pytorch_model.bin +3 -0
- checkpoint-250/pytorch_model_1.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scheduler.bin +3 -0
- checkpoint-500/custom_checkpoint_0.pkl +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/pytorch_model.bin +3 -0
- checkpoint-500/pytorch_model_1.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scheduler.bin +3 -0
- checkpoint-750/custom_checkpoint_0.pkl +3 -0
- checkpoint-750/optimizer.bin +3 -0
- checkpoint-750/pytorch_model.bin +3 -0
- checkpoint-750/pytorch_model_1.bin +3 -0
- checkpoint-750/random_states_0.pkl +3 -0
- checkpoint-750/scheduler.bin +3 -0
- logs/custom-diffusion/1702479762.988274/events.out.tfevents.1702479762.cudahpc06.380395.1 +3 -0
- logs/custom-diffusion/1702479762.989931/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1702479762.cudahpc06.380395.0 +3 -0
- pytorch_custom_diffusion_weights.bin +3 -0
<new1>.bin
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README.md
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---
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license: creativeml-openrail-m
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base_model: CompVis/stable-diffusion-v1-4
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instance_prompt: None
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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 - SidXXD/coarse-grain
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on None using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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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
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
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adam_weight_decay: 0.01
|
5 |
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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: ''
|
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class_prompt: null
|
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concepts_list: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/concept_list-multi.json
|
12 |
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dataloader_num_workers: 2
|
13 |
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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: false
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hflip: true
|
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hub_model_id: null
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hub_token: null
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initializer_token: ktn+pll+ucd+xdd+xxd+lld+pdd+ffk
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instance_data_dir: null
|
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instance_prompt: null
|
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learning_rate: 1.0e-05
|
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local_rank: -1
|
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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: 1000
|
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mixed_precision: null
|
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modifier_token: <new1>+<new2>+<new3>+<new4>
|
32 |
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no_safe_serialization: true
|
33 |
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noaug: false
|
34 |
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num_class_images: 200
|
35 |
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num_train_epochs: 1
|
36 |
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num_validation_images: 2
|
37 |
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output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/multi-concepts/coarse-grain
|
38 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
39 |
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prior_generation_precision: null
|
40 |
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prior_loss_weight: 0.0
|
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push_to_hub: true
|
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real_prior: false
|
43 |
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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: true
|
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seed: 42
|
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set_grads_to_none: false
|
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tokenizer_name: null
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train_batch_size: 2
|
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use_8bit_adam: false
|
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validation_prompt: null
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validation_steps: 50
|
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variant: null
|
57 |
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with_prior_preservation: false
|
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