End of training
Browse files- <new1>.bin +3 -0
- <new2>.bin +3 -0
- <new3>.bin +3 -0
- <new4>.bin +3 -0
- <new5>.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-1250/custom_checkpoint_0.pkl +3 -0
- checkpoint-1250/optimizer.bin +3 -0
- checkpoint-1250/pytorch_model.bin +3 -0
- checkpoint-1250/pytorch_model_1.bin +3 -0
- checkpoint-1250/random_states_0.pkl +3 -0
- checkpoint-1250/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/1701432466.0704165/events.out.tfevents.1701432466.cudahpc06.2217003.1 +3 -0
- logs/custom-diffusion/1701432466.071947/hparams.yml +57 -0
- logs/custom-diffusion/events.out.tfevents.1701432466.cudahpc06.2217003.0 +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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3 |
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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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|
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# Custom Diffusion - SidXXD/model-multi-5-flowers
|
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|
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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 |
+
adam_weight_decay: 0.01
|
5 |
+
allow_tf32: false
|
6 |
+
center_crop: false
|
7 |
+
checkpointing_steps: 250
|
8 |
+
checkpoints_total_limit: null
|
9 |
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class_data_dir: null
|
10 |
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class_prompt: null
|
11 |
+
concepts_list: ./concept_list.json
|
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+xdd+xxd
|
21 |
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instance_data_dir: null
|
22 |
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instance_prompt: null
|
23 |
+
learning_rate: 1.0e-05
|
24 |
+
local_rank: -1
|
25 |
+
logging_dir: logs
|
26 |
+
lr_scheduler: constant
|
27 |
+
lr_warmup_steps: 0
|
28 |
+
max_grad_norm: 1.0
|
29 |
+
max_train_steps: 1250
|
30 |
+
mixed_precision: null
|
31 |
+
modifier_token: <new1>+<new2>+<new3>+<new4>+<new5>
|
32 |
+
no_safe_serialization: true
|
33 |
+
noaug: false
|
34 |
+
num_class_images: 200
|
35 |
+
num_train_epochs: 1
|
36 |
+
num_validation_images: 2
|
37 |
+
output_dir: model-multi-5-flowers
|
38 |
+
pretrained_model_name_or_path: CompVis/stable-diffusion-v1-4
|
39 |
+
prior_generation_precision: null
|
40 |
+
prior_loss_weight: 0.0
|
41 |
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|
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|
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|
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