End of training
Browse files- .gitattributes +2 -0
- README.md +45 -0
- checkpoint-1000/controlnet/config.json +51 -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-1500/controlnet/config.json +51 -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-2000/controlnet/config.json +51 -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-2500/controlnet/config.json +51 -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-3000/controlnet/config.json +51 -0
- checkpoint-3000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-3000/optimizer.bin +3 -0
- checkpoint-3000/random_states_0.pkl +3 -0
- checkpoint-3000/scaler.pt +3 -0
- checkpoint-3000/scheduler.bin +3 -0
- checkpoint-500/controlnet/config.json +51 -0
- checkpoint-500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-500/optimizer.bin +3 -0
- checkpoint-500/random_states_0.pkl +3 -0
- checkpoint-500/scaler.pt +3 -0
- checkpoint-500/scheduler.bin +3 -0
- config.json +51 -0
- diffusion_pytorch_model.safetensors +3 -0
- image_control.png +0 -0
- images_0.png +3 -0
- images_1.png +3 -0
- logs/train_controlnet/1717630356.7456503/events.out.tfevents.1717630356.ambus-algoq6069.38725.1 +3 -0
- logs/train_controlnet/1717630356.7484078/hparams.yml +50 -0
- logs/train_controlnet/events.out.tfevents.1717630356.ambus-algoq6069.38725.0 +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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images_0.png filter=lfs diff=lfs merge=lfs -text
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images_1.png filter=lfs diff=lfs merge=lfs -text
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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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- diffusers-training
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base_model: runwayml/stable-diffusion-v1-5
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inference: true
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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-c-eshih/models
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These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
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You can find some example images below.
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prompt: red circle with blue background
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prompt: cyan circle with brown floral background
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+

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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": "0.29.0.dev0",
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"act_fn": "silu",
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"attention_head_dim": 8,
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"block_out_channels": [
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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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"DownBlock2D"
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"encoder_hid_dim": 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",
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"transformer_layers_per_block": 1,
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"upcast_attention": false,
|
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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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checkpoint-1500/controlnet/config.json
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|
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checkpoint-1500/controlnet/diffusion_pytorch_model.safetensors
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|
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}
|
checkpoint-2000/controlnet/diffusion_pytorch_model.safetensors
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image_control.png
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images_0.png
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Git LFS Details
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images_1.png
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Git LFS Details
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logs/train_controlnet/1717630356.7456503/events.out.tfevents.1717630356.ambus-algoq6069.38725.1
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logs/train_controlnet/1717630356.7484078/hparams.yml
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tracker_project_name: train_controlnet
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|
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logs/train_controlnet/events.out.tfevents.1717630356.ambus-algoq6069.38725.0
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