End of training
Browse files- <new1>.safetensors +3 -0
- README.md +44 -0
- checkpoint-1000/custom_checkpoint_0.pkl +3 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/model_1.safetensors +3 -0
- checkpoint-1000/optimizer.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/model.safetensors +3 -0
- checkpoint-250/model_1.safetensors +3 -0
- checkpoint-250/optimizer.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/model.safetensors +3 -0
- checkpoint-500/model_1.safetensors +3 -0
- checkpoint-500/optimizer.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/model.safetensors +3 -0
- checkpoint-750/model_1.safetensors +3 -0
- checkpoint-750/optimizer.bin +3 -0
- checkpoint-750/random_states_0.pkl +3 -0
- checkpoint-750/scheduler.bin +3 -0
- logs/custom-diffusion/1734795754.6958354/events.out.tfevents.1734795754.80baea66d89d.18439.1 +3 -0
- logs/custom-diffusion/1734795754.6977081/hparams.yml +57 -0
- logs/custom-diffusion/1734796711.277155/events.out.tfevents.1734796711.80baea66d89d.22590.1 +3 -0
- logs/custom-diffusion/1734796711.2788737/hparams.yml +57 -0
- logs/custom-diffusion/1734796797.880242/events.out.tfevents.1734796797.80baea66d89d.23038.1 +3 -0
- logs/custom-diffusion/1734796797.8819876/hparams.yml +57 -0
- logs/custom-diffusion/1734797982.0873995/events.out.tfevents.1734797982.80baea66d89d.31751.1 +3 -0
- logs/custom-diffusion/1734797982.0892208/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1734795754.80baea66d89d.18439.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1734796711.80baea66d89d.22590.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1734796797.80baea66d89d.23038.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1734797982.80baea66d89d.31751.0 +3 -0
- pytorch_custom_diffusion_weights.safetensors +3 -0
<new1>.safetensors
ADDED
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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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base_model: CompVis/stable-diffusion-v1-4
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library_name: diffusers
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license: creativeml-openrail-m
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inference: true
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instance_prompt: photo of the <new1> style
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tags:
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- text-to-image
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- diffusers
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- stable-diffusion
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- stable-diffusion-diffusers
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- custom-diffusion
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- diffusers-training
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---
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<!-- This model card has been generated automatically according to the information the training script had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Custom Diffusion - Andy9310/saved_model
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These are Custom Diffusion adaption weights for CompVis/stable-diffusion-v1-4. The weights were trained on photo of the <new1> style 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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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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checkpoint-1000/custom_checkpoint_0.pkl
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checkpoint-750/optimizer.bin
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logs/custom-diffusion/1734795754.6977081/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 |
+
adam_weight_decay: 0.01
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5 |
+
allow_tf32: false
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+
center_crop: false
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7 |
+
checkpointing_steps: 250
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+
checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_watercolor/
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class_prompt: watercolor
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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: false
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hflip: true
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+
hub_model_id: null
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hub_token: null
|
20 |
+
initializer_token: ktn+pll+ucd
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instance_data_dir: ''
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instance_prompt: photo of the <new1> style
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23 |
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learning_rate: 1.0e-05
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24 |
+
local_rank: -1
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25 |
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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: null
|
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modifier_token: <new1>
|
32 |
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no_safe_serialization: false
|
33 |
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noaug: false
|
34 |
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num_class_images: 3
|
35 |
+
num_train_epochs: 1
|
36 |
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num_validation_images: 2
|
37 |
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output_dir: ./saved_model
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38 |
+
pretrained_model_name_or_path: ''
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39 |
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prior_generation_precision: null
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40 |
+
prior_loss_weight: 1.0
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+
push_to_hub: true
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+
real_prior: true
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43 |
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report_to: tensorboard
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44 |
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resolution: 512
|
45 |
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resume_from_checkpoint: null
|
46 |
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revision: null
|
47 |
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sample_batch_size: 4
|
48 |
+
scale_lr: true
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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: true
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logs/custom-diffusion/1734796711.277155/events.out.tfevents.1734796711.80baea66d89d.22590.1
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logs/custom-diffusion/1734796711.2788737/hparams.yml
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