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  1. README.md +15 -1
  2. config.json +56 -0
  3. diffusion_pytorch_model.bin +3 -0
README.md CHANGED
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  ---
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- license: openrail
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
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+
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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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+
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+ # controlnet-CiaraRowles/TemporalNetXL
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+
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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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+
config.json ADDED
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+ {
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+ "_class_name": "ControlNetModel",
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+ "_diffusers_version": "0.20.0.dev0",
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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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+ "addition_time_embed_dim": 256,
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+ "attention_head_dim": [
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+ 5,
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+ 10,
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+ 20
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+ ],
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+ "block_out_channels": [
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+ 320,
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+ 640,
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+ 1280
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+ ],
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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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+ 16,
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+ 32,
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+ 96,
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+ 256
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+ ],
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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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+ ],
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+ "downsample_padding": 1,
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+ "encoder_hid_dim": null,
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+ "encoder_hid_dim_type": 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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+ "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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+ 1,
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+ 2,
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+ 10
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+ ],
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+ "upcast_attention": null,
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+ "use_linear_projection": true
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+ }
diffusion_pytorch_model.bin ADDED
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