CiaraRowles
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Browse files- README.md +15 -1
- config.json +56 -0
- diffusion_pytorch_model.bin +3 -0
README.md
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---
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-
license: openrail
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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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# controlnet-CiaraRowles/TemporalNetXL
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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
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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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}
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diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d50d4a2ca33a6081b523b23f22f51b9fb5ccd841d85c0e525f31002635c3147
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size 5004438321
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