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controlnet-room-seg

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stable-diffusion
stable-diffusion-diffusers
controlnet
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End of training

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  1. 10000/config.json +44 -0
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  3. 15000/config.json +44 -0
  4. 15000/diffusion_flax_model.msgpack +3 -0
  5. 20000/config.json +44 -0
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  9. 30000/config.json +44 -0
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  11. 35000/config.json +44 -0
  12. 35000/diffusion_flax_model.msgpack +3 -0
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  17. 5000/config.json +44 -0
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  40. 95000/diffusion_flax_model.msgpack +3 -0
  41. README.md +19 -0
  42. config.json +44 -0
  43. diffusion_flax_model.msgpack +3 -0
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README.md ADDED
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+
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+ ---
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+ license: creativeml-openrail-m
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+ base_model: runwayml/stable-diffusion-v1-5
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+ tags:
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+ - stable-diffusion
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+ - stable-diffusion-diffusers
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+ - text-to-image
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+ - diffusers
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+ - controlnet
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+ - jax-diffusers-event
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+ inference: true
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+ ---
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+
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+ # controlnet- ksmcg/models
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+
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+ These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning. You can find some example images in the following.
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+
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+
config.json ADDED
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+ {
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+ "_class_name": "FlaxControlNetModel",
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+ "_diffusers_version": "0.16.0.dev0",
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+ "_name_or_path": "/home/patrick/controlnet_v1_1/control_v11p_sd15_seg",
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+ "act_fn": "silu",
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+ "attention_head_dim": 8,
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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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+ 1280
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+ ],
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+ "class_embed_type": null,
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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": 768,
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+ "down_block_types": [
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+ "CrossAttnDownBlock2D",
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+ "CrossAttnDownBlock2D",
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+ "CrossAttnDownBlock2D",
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+ "DownBlock2D"
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+ ],
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+ "downsample_padding": 1,
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+ "dropout": 0.0,
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+ "flip_sin_to_cos": true,
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+ "freq_shift": 0,
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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_class_embeds": null,
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+ "only_cross_attention": false,
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+ "projection_class_embeddings_input_dim": null,
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+ "resnet_time_scale_shift": "default",
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+ "sample_size": 32,
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+ "upcast_attention": false,
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+ "use_linear_projection": false
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+ }
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+ version https://git-lfs.github.com/spec/v1
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