End of training
Browse files- README.md +19 -0
- config.json +44 -0
- diffusion_flax_model.msgpack +3 -0
README.md
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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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# controlnet- ksmcg/controlnet-room-seg-blur
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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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config.json
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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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diffusion_flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c662885bd7873dc9f686fef897d0727da9995649b673e24be9736c547a17053
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size 1445128798
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