alelordelo
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Commit
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End of training
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- .gitattributes +4 -0
- README.md +17 -0
- checkpoint-25500/controlnet/config.json +57 -0
- checkpoint-25500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-25500/optimizer.bin +3 -0
- checkpoint-25500/random_states_0.pkl +3 -0
- checkpoint-25500/scaler.pt +3 -0
- checkpoint-25500/scheduler.bin +3 -0
- checkpoint-26000/controlnet/config.json +57 -0
- checkpoint-26000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-26000/optimizer.bin +3 -0
- checkpoint-26000/random_states_0.pkl +3 -0
- checkpoint-26000/scaler.pt +3 -0
- checkpoint-26000/scheduler.bin +3 -0
- checkpoint-26500/controlnet/config.json +57 -0
- checkpoint-26500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-26500/optimizer.bin +3 -0
- checkpoint-26500/random_states_0.pkl +3 -0
- checkpoint-26500/scaler.pt +3 -0
- checkpoint-26500/scheduler.bin +3 -0
- checkpoint-27000/controlnet/config.json +57 -0
- checkpoint-27000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-27000/optimizer.bin +3 -0
- checkpoint-27000/random_states_0.pkl +3 -0
- checkpoint-27000/scaler.pt +3 -0
- checkpoint-27000/scheduler.bin +3 -0
- checkpoint-27500/controlnet/config.json +57 -0
- checkpoint-27500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-27500/optimizer.bin +3 -0
- checkpoint-27500/random_states_0.pkl +3 -0
- checkpoint-27500/scaler.pt +3 -0
- checkpoint-27500/scheduler.bin +3 -0
- checkpoint-28000/controlnet/config.json +57 -0
- checkpoint-28000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-28000/optimizer.bin +3 -0
- checkpoint-28000/random_states_0.pkl +3 -0
- checkpoint-28000/scaler.pt +3 -0
- checkpoint-28000/scheduler.bin +3 -0
- checkpoint-28500/controlnet/config.json +57 -0
- checkpoint-28500/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-28500/optimizer.bin +3 -0
- checkpoint-28500/random_states_0.pkl +3 -0
- checkpoint-28500/scaler.pt +3 -0
- checkpoint-28500/scheduler.bin +3 -0
- checkpoint-29000/controlnet/config.json +57 -0
- checkpoint-29000/controlnet/diffusion_pytorch_model.safetensors +3 -0
- checkpoint-29000/optimizer.bin +3 -0
- checkpoint-29000/random_states_0.pkl +3 -0
- checkpoint-29000/scaler.pt +3 -0
- checkpoint-29000/scheduler.bin +3 -0
.gitattributes
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@@ -33,3 +33,7 @@ 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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image_control.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-alelordelo/workspace
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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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checkpoint-25500/controlnet/config.json
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@@ -0,0 +1,57 @@
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"act_fn": "silu",
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"addition_embed_type": "text_time",
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"addition_embed_type_num_heads": 64,
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"conditioning_channels": 3,
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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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"CrossAttnDownBlock2D"
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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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"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": 2816,
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"resnet_time_scale_shift": "default",
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"transformer_layers_per_block": [
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],
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"upcast_attention": null,
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"use_linear_projection": true
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}
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checkpoint-25500/controlnet/diffusion_pytorch_model.safetensors
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"down_block_types": [
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"DownBlock2D",
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"CrossAttnDownBlock2D",
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"layers_per_block": 2,
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"mid_block_type": "UNetMidBlock2DCrossAttn",
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}
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checkpoint-26000/controlnet/diffusion_pytorch_model.safetensors
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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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"CrossAttnDownBlock2D"
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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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}
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checkpoint-26500/controlnet/diffusion_pytorch_model.safetensors
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