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Add custom nodes, Civitai loras (LFS), and vast.ai setup script
Includes 30 custom nodes committed directly, 7 Civitai-exclusive
loras stored via Git LFS, and a setup script that installs all
dependencies and downloads HuggingFace-hosted models on vast.ai.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-09 00:56:42 +00:00

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{
"_class_name": "BrushNetModel",
"_diffusers_version": "0.27.0.dev0",
"_name_or_path": "runs/logs/brushnet_randommask/checkpoint-100000",
"act_fn": "silu",
"addition_embed_type": null,
"addition_embed_type_num_heads": 64,
"addition_time_embed_dim": null,
"attention_head_dim": 8,
"block_out_channels": [
320,
640,
1280,
1280
],
"brushnet_conditioning_channel_order": "rgb",
"class_embed_type": null,
"conditioning_channels": 5,
"conditioning_embedding_out_channels": [
16,
32,
96,
256
],
"cross_attention_dim": 768,
"down_block_types": [
"DownBlock2D",
"DownBlock2D",
"DownBlock2D",
"DownBlock2D"
],
"downsample_padding": 1,
"encoder_hid_dim": null,
"encoder_hid_dim_type": null,
"flip_sin_to_cos": true,
"freq_shift": 0,
"global_pool_conditions": false,
"in_channels": 4,
"layers_per_block": 2,
"mid_block_scale_factor": 1,
"mid_block_type": "MidBlock2D",
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_attention_heads": null,
"num_class_embeds": null,
"only_cross_attention": false,
"projection_class_embeddings_input_dim": null,
"resnet_time_scale_shift": "default",
"transformer_layers_per_block": 1,
"up_block_types": [
"UpBlock2D",
"UpBlock2D",
"UpBlock2D",
"UpBlock2D"
],
"upcast_attention": false,
"use_linear_projection": false
}