End of training
Browse files- .gitattributes +2 -0
- README.md +20 -0
- checkpoint-12000/controlnet/config.json +56 -0
- checkpoint-12000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scaler.pt +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-12500/controlnet/config.json +56 -0
- checkpoint-12500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-12500/optimizer.bin +3 -0
- checkpoint-12500/random_states_0.pkl +3 -0
- checkpoint-12500/scaler.pt +3 -0
- checkpoint-12500/scheduler.bin +3 -0
- checkpoint-13000/controlnet/config.json +56 -0
- checkpoint-13000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-13000/optimizer.bin +3 -0
- checkpoint-13000/random_states_0.pkl +3 -0
- checkpoint-13000/scaler.pt +3 -0
- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-13500/controlnet/config.json +56 -0
- checkpoint-13500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-13500/optimizer.bin +3 -0
- checkpoint-13500/random_states_0.pkl +3 -0
- checkpoint-13500/scaler.pt +3 -0
- checkpoint-13500/scheduler.bin +3 -0
- checkpoint-14000/controlnet/config.json +56 -0
- checkpoint-14000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scaler.pt +3 -0
- checkpoint-14000/scheduler.bin +3 -0
- checkpoint-14500/controlnet/config.json +56 -0
- checkpoint-14500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-14500/optimizer.bin +3 -0
- checkpoint-14500/random_states_0.pkl +3 -0
- checkpoint-14500/scaler.pt +3 -0
- checkpoint-14500/scheduler.bin +3 -0
- checkpoint-15000/controlnet/config.json +56 -0
- checkpoint-15000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-15000/optimizer.bin +3 -0
- checkpoint-15000/random_states_0.pkl +3 -0
- checkpoint-15000/scaler.pt +3 -0
- checkpoint-15000/scheduler.bin +3 -0
- config.json +56 -0
- diffusion_pytorch_model.safetensors +3 -0
- image_control.png +3 -0
- images_0.png +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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*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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image_control.png 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: openrail++
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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tags:
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- stable-diffusion-xl
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- stable-diffusion-xl-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-sxela/out
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These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
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You can find some example images below.
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prompt: anthropomorphic anthropomorphic fat cat as dark vador, lightsaber, star wars, beautiful glowing lights, sci - fi, stunning, intricate, elegant. highly detailed, digital painting. artstation. smooth. sharp focus. illustration. art by artgerm and greg rutkowski and alphonse mucha
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![images_0)](./images_0.png)
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checkpoint-12000/controlnet/config.json
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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": 2048,
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"in_channels": 4,
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"mid_block_scale_factor": 1,
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"norm_eps": 1e-05,
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"upcast_attention": null,
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"use_linear_projection": true
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}
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Git LFS Details
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images_0.png
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