init commits
Browse files- README.md +36 -1
- docs/imgs/validation_25000_6b3f8b37f2268ec0c09e.png +0 -0
- docs/imgs/validation_25100_fe0b49075b45efdc311c.png +0 -0
- sd-diffusiondb-canny-model-control-lora/config.json +92 -0
- sd-diffusiondb-canny-model-control-lora/diffusion_pytorch_model.bin +3 -0
- sd-diffusiondb-canny-model-control-lora/diffusion_pytorch_model.safetensors +3 -0
- sd-highcwu_v1-model-lora/diffusion_pytorch_model.bin +3 -0
- sd-highcwu_v1-model-lora/diffusion_pytorch_model.safetensors +3 -0
- sd-mpii-pose-model-control-lora/config.json +92 -0
- sd-mpii-pose-model-control-lora/diffusion_pytorch_model.bin +3 -0
- sd-mpii-pose-model-control-lora/diffusion_pytorch_model.safetensors +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: 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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- lora
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- controlnet
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- control-lora
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inference: true
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---
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# ControlLoRA text2image fine-tuning - Official Repository
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These are ControlLoRA adaption weights for [runwayml/stable-diffusion-v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5).
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With ControlLoRA, a simple and small (~7M parameters, ~25M storage space) network, you could control the spatial information of stable diffusion.
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Each of the weights is fine-tuned on the [fill50k](https://huggingface.co/datasets/HighCWu/fill50k), [diffusiondb_2m_first_5k_canny](https://huggingface.co/datasets/HighCWu/diffusiondb_2m_first_5k_canny) and [mpii_100_openpose](https://huggingface.co/datasets/HighCWu/mpii_100_openpose) datasets with 30k steps on RTX4080 in 3 hours.
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You can find some example images in the following.
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*boys are playing with a frisbee in a field,
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2009 cinematography, trending on artforum, running pose,
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bruce springsteen, connected to heart machines, with tattoos,
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beautiful - n 9, by Eric Dinyer, young child, midlands*
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*portrait of a dancing eagle woman, "
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"beautiful blonde haired lakota sioux goddess, "
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"intricate, highly detailed art by james jean, "
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"ray tracing, digital painting, artstation, "
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"concept art, smooth, sharp focus, illustration, "
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"artgerm and greg rutkowski and alphonse mucha, "
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"vladimir kush, giger, roger dean, 8 k*
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I also uploaded a lora model fine-tuned on my selfies with 2k steps which could be use in the experiment of mixing LoRA and ControlLoRA.
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docs/imgs/validation_25000_6b3f8b37f2268ec0c09e.png
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docs/imgs/validation_25100_fe0b49075b45efdc311c.png
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sd-diffusiondb-canny-model-control-lora/config.json
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{
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"_class_name": "ControlLoRA",
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"_diffusers_version": "0.13.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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32,
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64,
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128,
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256
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],
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"down_block_types": [
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
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],
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"in_channels": 3,
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"layers_per_block": 1,
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"lora_block_in_channels": [
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256,
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256,
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256,
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256
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],
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"lora_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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"lora_control_rank": null,
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"lora_cross_attention_dims": [
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[
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null,
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768,
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]
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],
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"lora_post_add": false,
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"lora_pre_conv_layers_kernel_size": 1,
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"lora_pre_conv_layers_per_block": 1,
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"lora_pre_conv_types": [
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
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],
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"lora_pre_down_block_types": [
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null,
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
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],
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"lora_pre_down_layers_per_block": 1,
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"lora_rank": 4,
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"norm_num_groups": 32
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}
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sd-diffusiondb-canny-model-control-lora/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1c192f779d5f85db2fa00fb2a6277c2605ad3c9066e098b0ff7e139c8d713dd
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size 24351137
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sd-diffusiondb-canny-model-control-lora/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d908c223e25342362765bcc0f1ae94a20e14093959a4d5d6682b881beaa735b
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size 24230799
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sd-highcwu_v1-model-lora/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:216d3c72023c3baaf47f12a1d916eeac3405829d04c31c9a5b594ba003cfcc7d
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size 3283841
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sd-highcwu_v1-model-lora/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:13669e40d4ce1bbc2a0a5c0b1599f7cd1a28d6e89ff7f432e89d9cbc0294e7cb
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size 3227303
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sd-mpii-pose-model-control-lora/config.json
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{
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"_class_name": "ControlLoRA",
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"_diffusers_version": "0.13.0.dev0",
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"act_fn": "silu",
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"block_out_channels": [
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32,
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64,
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128,
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256
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],
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"down_block_types": [
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
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],
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"in_channels": 3,
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"layers_per_block": 1,
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"lora_block_in_channels": [
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256,
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256,
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256,
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256
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],
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"lora_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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"lora_control_rank": null,
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"lora_cross_attention_dims": [
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[
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],
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]
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],
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"lora_post_add": false,
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"lora_pre_conv_layers_kernel_size": 1,
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"lora_pre_conv_layers_per_block": 1,
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"lora_pre_conv_types": [
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
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],
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"lora_pre_down_block_types": [
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null,
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D",
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"SimpleDownEncoderBlock2D"
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],
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"lora_pre_down_layers_per_block": 1,
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"lora_rank": 4,
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"norm_num_groups": 32
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}
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sd-mpii-pose-model-control-lora/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:34dccce2d034031bd1a37fb763f2fddb0e10f164ed31c0487937f0b2c3e5c55b
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size 24351137
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sd-mpii-pose-model-control-lora/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:59f313b024a89b7bd6ad04fba528523368bbcb9957f5fc8d640c509379da6c51
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size 24230799
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