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Log ControlNet SDXL

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.

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
1
Quelle
Hugging Face

Quellenbeschreibung

controlnet-JYChung/log_controlnet_sdxl

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: red circle with blue background images_0) prompt: cyan circle with brown floral background 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]

Quellen

1 Quelle
Hugging FacePrimärVersion b50c85299e1900da4f2baf50fe52f3b5e0a08092
huggingface.co/JYChung/log_controlnet_sdxl/tree/b50c85299e1900da4f2baf50fe52f3b5e0a08092

Verifiziert 7. Okt.

Modellartefakte

1 Artefakt

checkpoint-1000/controlnet/diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 5a1eb7c87eda…174b · Hugging Face

Download file

Quellenauszüge

3 Auszüge

--- base_model: stabilityai/stable-diffusion-xl-base-1.0 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-JYChung/log_controlnet_sdxl 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: red circle with blue background ![images_0)](./images_0.png) prompt: cyan circle with brown floral background ![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: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo JYChung/log_controlnet_sdxl

Source context: 0 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo JYChung/log_controlnet_sdxl