End of training
Browse files- <new1>.bin +3 -0
- README.md +22 -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
- logs/custom-diffusion/1701880485.1078117/events.out.tfevents.1701880485.cudahpc06.364265.1 +3 -0
- logs/custom-diffusion/1701880485.109475/hparams.yml +57 -0
- logs/custom-diffusion/1701880534.6231499/events.out.tfevents.1701880534.cudahpc06.366584.1 +3 -0
- logs/custom-diffusion/1701880534.6248488/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1701880485.cudahpc06.364265.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1701880534.cudahpc06.366584.0 +3 -0
- pytorch_custom_diffusion_weights.bin +3 -0
<new1>.bin
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version https://git-lfs.github.com/spec/v1
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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: photo of a <new1> dog
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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/dog2
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of a <new1> dog 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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checkpoint-250/custom_checkpoint_0.pkl
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checkpoint-250/optimizer.bin
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checkpoint-250/pytorch_model.bin
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checkpoint-250/pytorch_model_1.bin
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version https://git-lfs.github.com/spec/v1
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size 492321833
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checkpoint-250/random_states_0.pkl
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version https://git-lfs.github.com/spec/v1
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size 14663
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checkpoint-250/scheduler.bin
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version https://git-lfs.github.com/spec/v1
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logs/custom-diffusion/1701880485.1078117/events.out.tfevents.1701880485.cudahpc06.364265.1
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logs/custom-diffusion/1701880485.109475/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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| 4 |
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adam_weight_decay: 0.01
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| 5 |
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allow_tf32: false
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| 6 |
+
center_crop: false
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| 7 |
+
checkpointing_steps: 250
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| 8 |
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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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concepts_list: null
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| 12 |
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dataloader_num_workers: 2
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| 13 |
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enable_xformers_memory_efficient_attention: false
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| 14 |
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freeze_model: crossattn_kv
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| 15 |
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gradient_accumulation_steps: 1
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| 16 |
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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
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instance_data_dir: //home/xide/miniconda3/code/diffusers/examples/custom_diffusion/data/dog/dog2
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| 22 |
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instance_prompt: photo of a <new1> dog
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| 23 |
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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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| 26 |
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lr_scheduler: constant
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| 27 |
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lr_warmup_steps: 0
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| 28 |
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max_grad_norm: 1.0
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| 29 |
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max_train_steps: 250
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+
mixed_precision: null
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| 31 |
+
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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| 35 |
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num_train_epochs: 1
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| 36 |
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num_validation_images: 2
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| 37 |
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output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept/dog/dog2
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| 38 |
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pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
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prior_generation_precision: null
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+
prior_loss_weight: 0.0
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| 41 |
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push_to_hub: true
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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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revision: null
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| 47 |
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sample_batch_size: 4
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scale_lr: true
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| 49 |
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seed: 42
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set_grads_to_none: false
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| 51 |
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tokenizer_name: null
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| 52 |
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train_batch_size: 2
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| 53 |
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use_8bit_adam: false
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| 54 |
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validation_prompt: null
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| 55 |
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validation_steps: 50
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| 56 |
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variant: null
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| 57 |
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with_prior_preservation: false
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logs/custom-diffusion/1701880534.6231499/events.out.tfevents.1701880534.cudahpc06.366584.1
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version https://git-lfs.github.com/spec/v1
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size 2765
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logs/custom-diffusion/1701880534.6248488/hparams.yml
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adam_beta1: 0.9
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| 2 |
+
adam_beta2: 0.999
|
| 3 |
+
adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.01
|
| 5 |
+
allow_tf32: false
|
| 6 |
+
center_crop: false
|
| 7 |
+
checkpointing_steps: 250
|
| 8 |
+
checkpoints_total_limit: null
|
| 9 |
+
class_data_dir: null
|
| 10 |
+
class_prompt: null
|
| 11 |
+
concepts_list: null
|
| 12 |
+
dataloader_num_workers: 2
|
| 13 |
+
enable_xformers_memory_efficient_attention: false
|
| 14 |
+
freeze_model: crossattn_kv
|
| 15 |
+
gradient_accumulation_steps: 1
|
| 16 |
+
gradient_checkpointing: false
|
| 17 |
+
hflip: true
|
| 18 |
+
hub_model_id: null
|
| 19 |
+
hub_token: null
|
| 20 |
+
initializer_token: ktn+pll+ucd
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| 21 |
+
instance_data_dir: //home/xide/miniconda3/code/diffusers/examples/custom_diffusion/data/dog/dog2
|
| 22 |
+
instance_prompt: photo of a <new1> dog
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| 23 |
+
learning_rate: 1.0e-05
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| 24 |
+
local_rank: -1
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| 25 |
+
logging_dir: logs
|
| 26 |
+
lr_scheduler: constant
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| 27 |
+
lr_warmup_steps: 0
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| 28 |
+
max_grad_norm: 1.0
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| 29 |
+
max_train_steps: 250
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| 30 |
+
mixed_precision: null
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| 31 |
+
modifier_token: <new1>
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| 32 |
+
no_safe_serialization: true
|
| 33 |
+
noaug: false
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| 34 |
+
num_class_images: 200
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| 35 |
+
num_train_epochs: 1
|
| 36 |
+
num_validation_images: 2
|
| 37 |
+
output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/single-concept/dog/dog2
|
| 38 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
| 39 |
+
prior_generation_precision: null
|
| 40 |
+
prior_loss_weight: 0.0
|
| 41 |
+
push_to_hub: true
|
| 42 |
+
real_prior: false
|
| 43 |
+
report_to: tensorboard
|
| 44 |
+
resolution: 512
|
| 45 |
+
resume_from_checkpoint: null
|
| 46 |
+
revision: null
|
| 47 |
+
sample_batch_size: 4
|
| 48 |
+
scale_lr: true
|
| 49 |
+
seed: 42
|
| 50 |
+
set_grads_to_none: false
|
| 51 |
+
tokenizer_name: null
|
| 52 |
+
train_batch_size: 2
|
| 53 |
+
use_8bit_adam: false
|
| 54 |
+
validation_prompt: null
|
| 55 |
+
validation_steps: 50
|
| 56 |
+
variant: null
|
| 57 |
+
with_prior_preservation: false
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logs/custom-diffusion/events.out.tfevents.1701880485.cudahpc06.364265.0
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pytorch_custom_diffusion_weights.bin
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