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ControlNet XL X4

These are controlnet weights trained on cagliostrolab/animagine-xl-3.1 with new type of conditioning.

Quellehuggingface.co/olduvai-jp/controlnet_xl_x4/tree/c88e00e6d85812117ebf752120612b3c1bc8e2ab
ArtControlNetBasismodellcagliostrolab/animagine-xl-3.1VersionBBewertung

Modellquelle

Art
ControlNet
Dateigröße
4,66 GB
Basismodell
cagliostrolab/animagine-xl-3.1
Version
vdiffusion_pytorch_model
Aktualisiert
7. Okt. 2026
Downloads
11
Quelle
Hugging Face

Quellenbeschreibung

controlnet-olduvai-jp/x4

These are controlnet weights trained on cagliostrolab/animagine-xl-3.1 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 c88e00e6d85812117ebf752120612b3c1bc8e2ab
huggingface.co/olduvai-jp/controlnet_xl_x4/tree/c88e00e6d85812117ebf752120612b3c1bc8e2ab

Verifiziert 7. Okt.

Modellartefakte

1 Artefakt

checkpoint-5000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 cc9b8e532f44…e0d2 · Hugging Face

Download file

Quellenauszüge

3 Auszüge
Readme30. Julihuggingface.co/olduvai-jp/controlnet_xl_x4

--- base_model: cagliostrolab/animagine-xl-3.1 library_name: diffusers license: openrail++ inference: true tags: - stable-diffusion-xl - stable-diffusion-xl-diffusers - text-to-image - diffusers - controlnet - diffusers-training --- <!-- 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-olduvai-jp/x4 These are controlnet weights trained on cagliostrolab/animagine-xl-3.1 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/olduvai-jp/controlnet_xl_x4

Source context: 11 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo olduvai-jp/controlnet_xl_x4

Note30. Julihuggingface.co/olduvai-jp/controlnet_xl_x4

Source context: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo olduvai-jp/controlnet_xl_x4