End of training
Browse files- <new1>.bin +1 -1
- README.md +8 -3
- logs/custom-diffusion/1706461134.8647165/events.out.tfevents.1706461134.node-0.2610.1 +3 -0
- logs/custom-diffusion/1706461135.2349277/hparams.yml +59 -0
- logs/custom-diffusion/1706565168.5683231/events.out.tfevents.1706565169.node-0.2880.1 +3 -0
- logs/custom-diffusion/1706565172.3829625/hparams.yml +59 -0
- logs/custom-diffusion/events.out.tfevents.1706461134.node-0.2610.0 +3 -0
- logs/custom-diffusion/events.out.tfevents.1706565166.node-0.2880.0 +3 -0
- pytorch_custom_diffusion_weights.bin +1 -1
<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: 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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-
-
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inference: true
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---
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-
#
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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> boathouse
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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/47
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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> boathouse 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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logs/custom-diffusion/1706461134.8647165/events.out.tfevents.1706461134.node-0.2610.1
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size 2798
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logs/custom-diffusion/1706461135.2349277/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: null
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class_name: boathouse
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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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hub_token: null
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+
idx: 47
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+
initializer_token: ktn+pll+ucd
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+
instance_data_dir: /mnt/default/imagenet/images/train_small/n02859443
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+
instance_prompt: a photo of <new1> boathouse
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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: null
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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: 5
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+
num_validation_images: 2
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+
output_dir: /mnt/default/custom_diffusion_models_small/47
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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: 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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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: 4
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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: n02859443
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logs/custom-diffusion/1706565168.5683231/events.out.tfevents.1706565169.node-0.2880.1
ADDED
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logs/custom-diffusion/1706565172.3829625/hparams.yml
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adam_beta1: 0.9
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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
|
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checkpoints_total_limit: null
|
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class_data_dir: null
|
10 |
+
class_name: boathouse
|
11 |
+
class_prompt: null
|
12 |
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concepts_list: null
|
13 |
+
dataloader_num_workers: 2
|
14 |
+
enable_xformers_memory_efficient_attention: false
|
15 |
+
freeze_model: crossattn_kv
|
16 |
+
gradient_accumulation_steps: 1
|
17 |
+
gradient_checkpointing: true
|
18 |
+
hflip: true
|
19 |
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hub_model_id: null
|
20 |
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hub_token: null
|
21 |
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idx: 47
|
22 |
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initializer_token: ktn+pll+ucd
|
23 |
+
instance_data_dir: /mnt/default/imagenet/images/train_small/n02859443
|
24 |
+
instance_prompt: a photo of <new1> boathouse
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+
learning_rate: 1.0e-05
|
26 |
+
local_rank: -1
|
27 |
+
logging_dir: logs
|
28 |
+
lr_scheduler: constant
|
29 |
+
lr_warmup_steps: 0
|
30 |
+
max_grad_norm: 1.0
|
31 |
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max_train_steps: null
|
32 |
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mixed_precision: fp16
|
33 |
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modifier_token: <new1>
|
34 |
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no_safe_serialization: true
|
35 |
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noaug: false
|
36 |
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num_class_images: 200
|
37 |
+
num_train_epochs: 5
|
38 |
+
num_validation_images: 2
|
39 |
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output_dir: /mnt/default/custom_diffusion_models_small/47
|
40 |
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pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1
|
41 |
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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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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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sample_batch_size: 4
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scale_lr: true
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seed: 42
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tokenizer_name: null
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train_batch_size: 4
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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: n02859443
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logs/custom-diffusion/events.out.tfevents.1706461134.node-0.2610.0
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pytorch_custom_diffusion_weights.bin
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