End of training
Browse files- <new1>.bin +1 -1
- README.md +1 -6
- logs/custom-diffusion/1692900486.390851/events.out.tfevents.1692900486.70ab862dd996.18526.1 +3 -0
- logs/custom-diffusion/1692900486.3927343/hparams.yml +56 -0
- logs/custom-diffusion/1692901165.868499/events.out.tfevents.1692901165.70ab862dd996.21482.1 +3 -0
- logs/custom-diffusion/1692901165.8705516/hparams.yml +56 -0
- logs/custom-diffusion/1692901431.2041063/events.out.tfevents.1692901431.70ab862dd996.22660.1 +3 -0
- logs/custom-diffusion/1692901431.2064686/hparams.yml +56 -0
- logs/custom-diffusion/1692902325.7431657/events.out.tfevents.1692902325.70ab862dd996.26534.1 +3 -0
- logs/custom-diffusion/1692902325.7453113/hparams.yml +56 -0
- logs/custom-diffusion/events.out.tfevents.1692900486.70ab862dd996.18526.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1692901165.70ab862dd996.21482.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1692901431.70ab862dd996.22660.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1692902325.70ab862dd996.26534.0 +3 -0
- pytorch_custom_diffusion_weights.bin +1 -1
<new1>.bin
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README.md
CHANGED
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inference: true
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---
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-
# Custom Diffusion
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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> cat using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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-
![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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![img_4](./image_4.png)
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inference: true
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---
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+
# Custom Diffusion - ckandemir/cat
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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> cat using [Custom Diffusion](https://www.cs.cmu.edu/~custom-diffusion). You can find some example images in the following.
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logs/custom-diffusion/1692900486.390851/events.out.tfevents.1692900486.70ab862dd996.18526.1
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logs/custom-diffusion/1692900486.3927343/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
|
3 |
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adam_epsilon: 1.0e-08
|
4 |
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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: ./real_reg/samples_cat/
|
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class_prompt: cat
|
11 |
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concepts_list: null
|
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+
dataloader_num_workers: 2
|
13 |
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enable_xformers_memory_efficient_attention: true
|
14 |
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freeze_model: crossattn_kv
|
15 |
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gradient_accumulation_steps: 1
|
16 |
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gradient_checkpointing: false
|
17 |
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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: /content/data/cat
|
22 |
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instance_prompt: photo of a <new1> cat
|
23 |
+
learning_rate: 1.0e-05
|
24 |
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local_rank: -1
|
25 |
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logging_dir: logs
|
26 |
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lr_scheduler: constant
|
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lr_warmup_steps: 80
|
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max_grad_norm: 1.0
|
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max_train_steps: 200
|
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mixed_precision: null
|
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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
|
36 |
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num_validation_images: 2
|
37 |
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output_dir: /content/stable_diffusion_weights/cat
|
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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: 1.0
|
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push_to_hub: true
|
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|
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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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train_batch_size: 1
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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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with_prior_preservation: true
|
logs/custom-diffusion/1692901165.868499/events.out.tfevents.1692901165.70ab862dd996.21482.1
ADDED
@@ -0,0 +1,3 @@
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logs/custom-diffusion/1692901165.8705516/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: 250
|
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checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_cat/
|
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class_prompt: cat
|
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concepts_list: null
|
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dataloader_num_workers: 2
|
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enable_xformers_memory_efficient_attention: true
|
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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
|
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instance_data_dir: /content/data/cat
|
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instance_prompt: photo of a <new1> cat
|
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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lr_scheduler: constant
|
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lr_warmup_steps: 80
|
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max_grad_norm: 1.0
|
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max_train_steps: 200
|
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mixed_precision: null
|
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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: /content/stable_diffusion_weights/cat
|
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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: 1.0
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push_to_hub: true
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report_to: tensorboard
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resolution: 512
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revision: null
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sample_batch_size: 4
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logs/custom-diffusion/1692901431.2041063/events.out.tfevents.1692901431.70ab862dd996.22660.1
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logs/custom-diffusion/1692901431.2064686/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: 250
|
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checkpoints_total_limit: null
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class_data_dir: ./real_reg/samples_cat/
|
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class_prompt: cat
|
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concepts_list: null
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dataloader_num_workers: 2
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|
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instance_prompt: photo of a <new1> cat
|
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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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output_dir: /content/stable_diffusion_weights/cat
|
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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: 1.0
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push_to_hub: true
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report_to: tensorboard
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validation_steps: 50
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|
logs/custom-diffusion/1692902325.7431657/events.out.tfevents.1692902325.70ab862dd996.26534.1
ADDED
@@ -0,0 +1,3 @@
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logs/custom-diffusion/1692902325.7453113/hparams.yml
ADDED
@@ -0,0 +1,56 @@
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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
|
4 |
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adam_weight_decay: 0.01
|
5 |
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|
6 |
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center_crop: false
|
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checkpointing_steps: 250
|
8 |
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checkpoints_total_limit: null
|
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class_data_dir: ./real_reg/samples_cat/
|
10 |
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class_prompt: cat
|
11 |
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concepts_list: null
|
12 |
+
dataloader_num_workers: 2
|
13 |
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enable_xformers_memory_efficient_attention: true
|
14 |
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freeze_model: crossattn_kv
|
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gradient_accumulation_steps: 1
|
16 |
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gradient_checkpointing: false
|
17 |
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hflip: true
|
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hub_model_id: null
|
19 |
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hub_token: null
|
20 |
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initializer_token: ktn+pll+ucd
|
21 |
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instance_data_dir: /content/data/cat
|
22 |
+
instance_prompt: photo of a <new1> cat
|
23 |
+
learning_rate: 1.0e-05
|
24 |
+
local_rank: -1
|
25 |
+
logging_dir: logs
|
26 |
+
lr_scheduler: constant
|
27 |
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lr_warmup_steps: 80
|
28 |
+
max_grad_norm: 1.0
|
29 |
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max_train_steps: 200
|
30 |
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mixed_precision: null
|
31 |
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modifier_token: <new1>
|
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: /content/stable_diffusion_weights/cat
|
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: 1.0
|
41 |
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push_to_hub: true
|
42 |
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real_prior: true
|
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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validation_prompt: null
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validation_steps: 50
|
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with_prior_preservation: true
|
logs/custom-diffusion/events.out.tfevents.1692900486.70ab862dd996.18526.0
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@@ -0,0 +1,3 @@
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