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ControlNet SDXL 128

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.

Quellehuggingface.co/Acopa/ControlNet_SDXL_128/tree/187672a9d5636119f4d2019952e1edeba0b5ff1c
ArtControlNetBasismodellstabilityai/stable-diffusion-xl-base-1.0VersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
4,66 GB
Basismodell
stabilityai/stable-diffusion-xl-base-1.0
Version
vdiffusion_pytorch_model
Aktualisiert
7. Okt. 2026
Downloads
3
Quelle
Hugging Face

Quellenbeschreibung

controlnet-Acopa/ControlNet_SDXL_128

These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.

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]

Quellen

1 Quelle
Hugging FacePrimärVersion 187672a9d5636119f4d2019952e1edeba0b5ff1c
huggingface.co/Acopa/ControlNet_SDXL_128/tree/187672a9d5636119f4d2019952e1edeba0b5ff1c

Verifiziert 7. Okt.

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Modellartefakte

2 Artefakte

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 1cfd760a605c…02b3 · Hugging Face

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diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 1cfd760a605c…02b3 · Hugging Face

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Quellenauszüge

3 Auszüge
Readme30. Julihuggingface.co/Acopa/ControlNet_SDXL_128

--- 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-Acopa/ControlNet_SDXL_128 These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning. ## 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]

Note7. Okt.huggingface.co/Acopa/ControlNet_SDXL_128

Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Acopa/ControlNet_SDXL_128

Note30. Julihuggingface.co/Acopa/ControlNet_SDXL_128

Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Acopa/ControlNet_SDXL_128