End of training
Browse files- README.md +38 -0
- checkpoint-5000/controlnet/config.json +56 -0
- checkpoint-5000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-5000/optimizer.bin +3 -0
- checkpoint-5000/random_states_0.pkl +3 -0
- checkpoint-5000/scaler.pt +3 -0
- checkpoint-5000/scheduler.bin +3 -0
- config.json +57 -0
- diffusion_pytorch_model.safetensors +3 -0
- logs/controlnet/1708321706.931934/events.out.tfevents.1708321706.wide.536542.1 +3 -0
- logs/controlnet/1708321706.9338307/hparams.yml +50 -0
- logs/controlnet/1708357867.2393363/events.out.tfevents.1708357867.wide.57919.1 +3 -0
- logs/controlnet/1708357867.2414749/hparams.yml +50 -0
- logs/controlnet/1708358003.830039/events.out.tfevents.1708358003.wide.58464.1 +3 -0
- logs/controlnet/1708358003.8321893/hparams.yml +50 -0
- logs/controlnet/1708358119.9072566/events.out.tfevents.1708358119.wide.58970.1 +3 -0
- logs/controlnet/1708358119.9093032/hparams.yml +50 -0
- logs/controlnet/1708358161.4357738/events.out.tfevents.1708358161.wide.59319.1 +3 -0
- logs/controlnet/1708358161.438008/hparams.yml +50 -0
- logs/controlnet/1708358350.2173905/events.out.tfevents.1708358350.wide.59736.1 +3 -0
- logs/controlnet/1708358350.2193782/hparams.yml +50 -0
- logs/controlnet/1708359488.0739117/events.out.tfevents.1708359488.wide.27974.1 +3 -0
- logs/controlnet/1708359488.0757785/hparams.yml +50 -0
- logs/controlnet/1708359572.2498882/events.out.tfevents.1708359572.wide.31724.1 +3 -0
- logs/controlnet/1708359572.252156/hparams.yml +50 -0
- logs/controlnet/1708360311.39787/events.out.tfevents.1708360311.wide.56516.1 +3 -0
- logs/controlnet/1708360311.4002402/hparams.yml +50 -0
- logs/controlnet/1708369576.75438/events.out.tfevents.1708369576.wide.335413.1 +3 -0
- logs/controlnet/1708369576.757132/hparams.yml +50 -0
- logs/controlnet/events.out.tfevents.1708321706.wide.536542.0 +3 -0
- logs/controlnet/events.out.tfevents.1708357867.wide.57919.0 +3 -0
- logs/controlnet/events.out.tfevents.1708358003.wide.58464.0 +3 -0
- logs/controlnet/events.out.tfevents.1708358119.wide.58970.0 +3 -0
- logs/controlnet/events.out.tfevents.1708358161.wide.59319.0 +3 -0
- logs/controlnet/events.out.tfevents.1708358350.wide.59736.0 +3 -0
- logs/controlnet/events.out.tfevents.1708359488.wide.27974.0 +3 -0
- logs/controlnet/events.out.tfevents.1708359572.wide.31724.0 +3 -0
- logs/controlnet/events.out.tfevents.1708360311.wide.56516.0 +3 -0
- logs/controlnet/events.out.tfevents.1708369576.wide.335413.0 +3 -0
README.md
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---
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license: creativeml-openrail-m
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library_name: diffusers
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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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- controlnet
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inference: true
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base_model: stabilityai/stable-diffusion-2-1-base
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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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# controlnet-zhangshushu15/model_out
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These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
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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-5000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.27.0.dev0",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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"addition_time_embed_dim": null,
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"attention_head_dim": [
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"block_out_channels": [
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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],
|
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"controlnet_conditioning_channel_order": "rgb",
|
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"cross_attention_dim": 1024,
|
30 |
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"down_block_types": [
|
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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],
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"downsample_padding": 1,
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"encoder_hid_dim": null,
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"encoder_hid_dim_type": null,
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"flip_sin_to_cos": true,
|
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"freq_shift": 0,
|
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"global_pool_conditions": false,
|
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"in_channels": 4,
|
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
|
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"mid_block_type": "UNetMidBlock2DCrossAttn",
|
46 |
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"norm_eps": 1e-05,
|
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"norm_num_groups": 32,
|
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"num_attention_heads": null,
|
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"num_class_embeds": null,
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"only_cross_attention": false,
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"projection_class_embeddings_input_dim": null,
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"resnet_time_scale_shift": "default",
|
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"transformer_layers_per_block": 1,
|
54 |
+
"upcast_attention": false,
|
55 |
+
"use_linear_projection": true
|
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}
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checkpoint-5000/controlnet/diffusion_pytorch_model.safetensors
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checkpoint-5000/optimizer.bin
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checkpoint-5000/random_states_0.pkl
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checkpoint-5000/scaler.pt
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checkpoint-5000/scheduler.bin
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config.json
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{
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 1024,
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"down_block_types": [
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"CrossAttnDownBlock2D",
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"DownBlock2D"
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"global_pool_conditions": false,
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"in_channels": 4,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
|
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"only_cross_attention": false,
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"resnet_time_scale_shift": "default",
|
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"transformer_layers_per_block": 1,
|
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"upcast_attention": false,
|
56 |
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"use_linear_projection": true
|
57 |
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}
|
diffusion_pytorch_model.safetensors
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size 1456953560
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logs/controlnet/1708321706.931934/events.out.tfevents.1708321706.wide.536542.1
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version https://git-lfs.github.com/spec/v1
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logs/controlnet/1708321706.9338307/hparams.yml
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adam_beta1: 0.9
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2 |
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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 |
+
cache_dir: null
|
7 |
+
caption_column: image_caption
|
8 |
+
checkpointing_steps: 5000
|
9 |
+
checkpoints_total_limit: null
|
10 |
+
conditioning_image_column: spiga_seg
|
11 |
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controlnet_model_name_or_path: null
|
12 |
+
dataloader_num_workers: 0
|
13 |
+
dataset_config_name: null
|
14 |
+
dataset_name: multimodalart/facesyntheticsspigacaptioned
|
15 |
+
enable_xformers_memory_efficient_attention: true
|
16 |
+
gradient_accumulation_steps: 1
|
17 |
+
gradient_checkpointing: false
|
18 |
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hub_model_id: null
|
19 |
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hub_token: null
|
20 |
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image_column: image
|
21 |
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learning_rate: 1.0e-05
|
22 |
+
logging_dir: logs
|
23 |
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lr_num_cycles: 1
|
24 |
+
lr_power: 1.0
|
25 |
+
lr_scheduler: constant
|
26 |
+
lr_warmup_steps: 500
|
27 |
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max_grad_norm: 1.0
|
28 |
+
max_train_samples: null
|
29 |
+
max_train_steps: 75000
|
30 |
+
mixed_precision: null
|
31 |
+
num_train_epochs: 3
|
32 |
+
num_validation_images: 4
|
33 |
+
output_dir: model_out
|
34 |
+
pretrained_model_name_or_path: stabilityai/stable-diffusion-2-1-base
|
35 |
+
proportion_empty_prompts: 0
|
36 |
+
push_to_hub: false
|
37 |
+
report_to: tensorboard
|
38 |
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resolution: 512
|
39 |
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resume_from_checkpoint: null
|
40 |
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revision: null
|
41 |
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scale_lr: false
|
42 |
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seed: null
|
43 |
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set_grads_to_none: false
|
44 |
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tokenizer_name: null
|
45 |
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tracker_project_name: controlnet
|
46 |
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train_batch_size: 4
|
47 |
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train_data_dir: null
|
48 |
+
use_8bit_adam: false
|
49 |
+
validation_steps: 5000
|
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+
variant: null
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logs/controlnet/1708357867.2393363/events.out.tfevents.1708357867.wide.57919.1
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version https://git-lfs.github.com/spec/v1
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size 2302
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logs/controlnet/1708357867.2414749/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
|
4 |
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adam_weight_decay: 0.01
|
5 |
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allow_tf32: false
|
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cache_dir: null
|
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caption_column: image_caption
|
8 |
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checkpointing_steps: 5000
|
9 |
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checkpoints_total_limit: null
|
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conditioning_image_column: spiga_seg
|
11 |
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controlnet_model_name_or_path: null
|
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