End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +39 -0
- checkpoint-1000/controlnet/config.json +52 -0
- checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-1250/controlnet/config.json +52 -0
- checkpoint-1250/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1250/optimizer.bin +3 -0
- checkpoint-1250/random_states_0.pkl +3 -0
- checkpoint-1250/scaler.pt +3 -0
- checkpoint-1250/scheduler.bin +3 -0
- checkpoint-1500/controlnet/config.json +52 -0
- checkpoint-1500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scaler.pt +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-1750/controlnet/config.json +52 -0
- checkpoint-1750/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-1750/optimizer.bin +3 -0
- checkpoint-1750/random_states_0.pkl +3 -0
- checkpoint-1750/scaler.pt +3 -0
- checkpoint-1750/scheduler.bin +3 -0
- checkpoint-2000/controlnet/config.json +52 -0
- checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scaler.pt +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-2250/controlnet/config.json +52 -0
- checkpoint-2250/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-2250/optimizer.bin +3 -0
- checkpoint-2250/random_states_0.pkl +3 -0
- checkpoint-2250/scaler.pt +3 -0
- checkpoint-2250/scheduler.bin +3 -0
- checkpoint-250/controlnet/config.json +52 -0
- checkpoint-250/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-250/optimizer.bin +3 -0
- checkpoint-250/random_states_0.pkl +3 -0
- checkpoint-250/scaler.pt +3 -0
- checkpoint-250/scheduler.bin +3 -0
- checkpoint-2500/controlnet/config.json +52 -0
- checkpoint-2500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-2500/optimizer.bin +3 -0
- checkpoint-2500/random_states_0.pkl +3 -0
- checkpoint-2500/scaler.pt +3 -0
- checkpoint-2500/scheduler.bin +3 -0
- checkpoint-2750/controlnet/config.json +52 -0
README.md
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---
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base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
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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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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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- 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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# controlnet-aqhareus/controlnet-floorplan-final
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These are controlnet weights trained on stable-diffusion-v1-5/stable-diffusion-v1-5 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-1000/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.37.0.dev0",
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"_name_or_path": "lllyasviel/sd-controlnet-seg",
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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": 8,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"class_embed_type": null,
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"conditioning_channels": 3,
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"conditioning_embedding_out_channels": [
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16,
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32,
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96,
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256
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],
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"controlnet_conditioning_channel_order": "rgb",
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"cross_attention_dim": 768,
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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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| 30 |
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"DownBlock2D"
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],
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"downsample_padding": 1,
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| 33 |
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"encoder_hid_dim": null,
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| 34 |
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"encoder_hid_dim_type": null,
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| 35 |
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"flip_sin_to_cos": true,
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| 36 |
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"freq_shift": 0,
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| 37 |
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"global_pool_conditions": false,
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| 38 |
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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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| 41 |
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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| 42 |
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"norm_eps": 1e-05,
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| 43 |
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"norm_num_groups": 32,
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| 44 |
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"num_attention_heads": null,
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| 45 |
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"num_class_embeds": null,
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| 46 |
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"only_cross_attention": false,
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| 47 |
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"projection_class_embeddings_input_dim": null,
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| 48 |
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"resnet_time_scale_shift": "default",
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| 49 |
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"transformer_layers_per_block": 1,
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| 50 |
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"upcast_attention": false,
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| 51 |
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"use_linear_projection": false
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}
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checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors
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size 1445157120
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checkpoint-1000/optimizer.bin
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size 2890518943
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checkpoint-1000/random_states_0.pkl
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size 14757
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checkpoint-1000/scaler.pt
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size 1383
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checkpoint-1000/scheduler.bin
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size 1401
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checkpoint-1250/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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"_diffusers_version": "0.37.0.dev0",
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"_name_or_path": "lllyasviel/sd-controlnet-seg",
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| 5 |
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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": 8,
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"block_out_channels": [
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320,
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640,
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1280,
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1280
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],
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"class_embed_type": null,
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"conditioning_channels": 3,
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| 18 |
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"conditioning_embedding_out_channels": [
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16,
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32,
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| 21 |
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96,
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| 22 |
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256
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],
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| 24 |
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"controlnet_conditioning_channel_order": "rgb",
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| 25 |
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"cross_attention_dim": 768,
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| 26 |
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"down_block_types": [
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| 27 |
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"CrossAttnDownBlock2D",
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| 28 |
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"CrossAttnDownBlock2D",
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| 29 |
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"CrossAttnDownBlock2D",
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| 30 |
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"DownBlock2D"
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| 31 |
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],
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| 32 |
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"downsample_padding": 1,
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| 33 |
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"encoder_hid_dim": null,
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| 34 |
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"encoder_hid_dim_type": null,
|
| 35 |
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"flip_sin_to_cos": true,
|
| 36 |
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"freq_shift": 0,
|
| 37 |
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"global_pool_conditions": false,
|
| 38 |
+
"in_channels": 4,
|
| 39 |
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"layers_per_block": 2,
|
| 40 |
+
"mid_block_scale_factor": 1,
|
| 41 |
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"mid_block_type": "UNetMidBlock2DCrossAttn",
|
| 42 |
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"norm_eps": 1e-05,
|
| 43 |
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"norm_num_groups": 32,
|
| 44 |
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"num_attention_heads": null,
|
| 45 |
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"num_class_embeds": null,
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| 46 |
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"only_cross_attention": false,
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| 47 |
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"projection_class_embeddings_input_dim": null,
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| 48 |
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"resnet_time_scale_shift": "default",
|
| 49 |
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"transformer_layers_per_block": 1,
|
| 50 |
+
"upcast_attention": false,
|
| 51 |
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"use_linear_projection": false
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| 52 |
+
}
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checkpoint-1250/controlnet/diffusion_pytorch_model.safetensors
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size 1445157120
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checkpoint-1250/optimizer.bin
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version https://git-lfs.github.com/spec/v1
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size 2890518943
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checkpoint-1250/random_states_0.pkl
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size 14821
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checkpoint-1250/scaler.pt
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checkpoint-1250/scheduler.bin
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size 1401
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checkpoint-1500/controlnet/config.json
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{
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"_class_name": "ControlNetModel",
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| 3 |
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"_diffusers_version": "0.37.0.dev0",
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| 4 |
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"_name_or_path": "lllyasviel/sd-controlnet-seg",
|
| 5 |
+
"act_fn": "silu",
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| 6 |
+
"addition_embed_type": null,
|
| 7 |
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"addition_embed_type_num_heads": 64,
|
| 8 |
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"addition_time_embed_dim": null,
|
| 9 |
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"attention_head_dim": 8,
|
| 10 |
+
"block_out_channels": [
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| 11 |
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320,
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| 12 |
+
640,
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| 13 |
+
1280,
|
| 14 |
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1280
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| 15 |
+
],
|
| 16 |
+
"class_embed_type": null,
|
| 17 |
+
"conditioning_channels": 3,
|
| 18 |
+
"conditioning_embedding_out_channels": [
|
| 19 |
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16,
|
| 20 |
+
32,
|
| 21 |
+
96,
|
| 22 |
+
256
|
| 23 |
+
],
|
| 24 |
+
"controlnet_conditioning_channel_order": "rgb",
|
| 25 |
+
"cross_attention_dim": 768,
|
| 26 |
+
"down_block_types": [
|
| 27 |
+
"CrossAttnDownBlock2D",
|
| 28 |
+
"CrossAttnDownBlock2D",
|
| 29 |
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"CrossAttnDownBlock2D",
|
| 30 |
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"DownBlock2D"
|
| 31 |
+
],
|
| 32 |
+
"downsample_padding": 1,
|
| 33 |
+
"encoder_hid_dim": null,
|
| 34 |
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checkpoint-250/controlnet/config.json
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