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ControlNet Facesynthetics Spiga SDXL 10000

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

KindControlNetBase modelstabilityai/stable-diffusion-xl-base-1.0Versiondiffusion_pytorch_modelBgrade

Model source

Kind
ControlNet
File size
4.66 GB
Base model
stabilityai/stable-diffusion-xl-base-1.0
Version
vdiffusion_pytorch_model
Updated
Oct 8, 2026
Downloads
6
Source
Hugging Face

Source description

controlnet-katryo/controlnet-facesynthetics-spiga-sdxl-10000

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below.

prompt: a close-up of a man images_0) prompt: a close-up of a woman images_1)

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]

Sources

1 source
Hugging FacePrimaryVersion c850a1f9f69b520762cc598f15c0af1f2217d41f
huggingface.co/katryo/controlnet-facesynthetics-spiga-sdxl-10000/tree/c850a1f9f69b520762cc598f15c0af1f2217d41f

Verified Oct 8

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 4.66 GB · SHA-256 05901fdaae30…1ccb · Hugging Face

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Source excerpts

3 excerpts

--- license: openrail++ library_name: diffusers tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - controlnet - diffusers-training base_model: stabilityai/stable-diffusion-xl-base-1.0 inference: true --- <!-- This model card has been generated automatically according to the information the training script had access to. You should probably proofread and complete it, then remove this comment. --> # controlnet-katryo/controlnet-facesynthetics-spiga-sdxl-10000 These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. You can find some example images below. prompt: a close-up of a man ![images_0)](./images_0.png) prompt: a close-up of a woman ![images_1)](./images_1.png) ## Intended uses & limitations #### How to use ```python # TODO: add an example code snippet for running this diffusion pipeline ``` #### Limitations and bias [TODO: provide examples of latent issues and potential remediations] ## Training details [TODO: describe the data used to train the model]

Source context: 6 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo katryo/controlnet-facesynthetics-spiga-sdxl-10000

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo katryo/controlnet-facesynthetics-spiga-sdxl-10000