End of training
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +1 -0
- README.md +20 -0
- checkpoint-120/controlnet/config.json +55 -0
- checkpoint-120/optimizer.bin +3 -0
- checkpoint-120/random_states_0.pkl +3 -0
- checkpoint-120/scheduler.bin +3 -0
- checkpoint-150/controlnet/config.json +55 -0
- checkpoint-150/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-150/optimizer.bin +3 -0
- checkpoint-150/random_states_0.pkl +3 -0
- checkpoint-150/scheduler.bin +3 -0
- checkpoint-180/controlnet/config.json +55 -0
- checkpoint-180/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-180/optimizer.bin +3 -0
- checkpoint-180/random_states_0.pkl +3 -0
- checkpoint-180/scheduler.bin +3 -0
- checkpoint-210/controlnet/config.json +55 -0
- checkpoint-210/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-210/optimizer.bin +3 -0
- checkpoint-210/random_states_0.pkl +3 -0
- checkpoint-210/scheduler.bin +3 -0
- checkpoint-240/controlnet/config.json +55 -0
- checkpoint-240/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-240/optimizer.bin +3 -0
- checkpoint-240/random_states_0.pkl +3 -0
- checkpoint-240/scheduler.bin +3 -0
- checkpoint-270/controlnet/config.json +55 -0
- checkpoint-270/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-270/optimizer.bin +3 -0
- checkpoint-270/random_states_0.pkl +3 -0
- checkpoint-270/scheduler.bin +3 -0
- checkpoint-30/controlnet/config.json +55 -0
- checkpoint-30/optimizer.bin +3 -0
- checkpoint-30/random_states_0.pkl +3 -0
- checkpoint-30/scheduler.bin +3 -0
- checkpoint-300/controlnet/config.json +55 -0
- checkpoint-300/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-300/optimizer.bin +3 -0
- checkpoint-300/random_states_0.pkl +3 -0
- checkpoint-300/scheduler.bin +3 -0
- checkpoint-330/controlnet/config.json +55 -0
- checkpoint-330/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-330/optimizer.bin +3 -0
- checkpoint-330/random_states_0.pkl +3 -0
- checkpoint-330/scheduler.bin +3 -0
- checkpoint-360/controlnet/config.json +55 -0
- checkpoint-360/controlnet/diffusion_pytorch_model.bin +3 -0
- checkpoint-360/optimizer.bin +3 -0
- checkpoint-360/random_states_0.pkl +3 -0
- checkpoint-360/scheduler.bin +3 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ 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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*tfevents* 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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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-base
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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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---
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# controlnet-bestpedro/controlnet
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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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You can find some example images below.
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prompt: object in a uniform green ground, shadow, 4k, realistic
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![images_0)](./images_0.png)
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checkpoint-120/controlnet/config.json
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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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"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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"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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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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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,
|
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"use_linear_projection": true
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}
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checkpoint-120/optimizer.bin
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checkpoint-150/controlnet/config.json
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"down_block_types": [
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|
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checkpoint-150/controlnet/diffusion_pytorch_model.bin
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checkpoint-180/controlnet/config.json
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checkpoint-180/controlnet/diffusion_pytorch_model.bin
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checkpoint-210/controlnet/config.json
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