ControlNet SDXL 128
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
Source du modèle
- Type
- ControlNet
- Taille du fichier
- 4,66 GB
- Modèle de base
- stabilityai/stable-diffusion-xl-base-1.0
- Version
- vdiffusion_pytorch_model
- Mis à jour
- 7 oct. 2026
- Téléchargements
- 3
- Source
- Hugging Face
Description de la source
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]
Sources
1 source
Sources
1 sourceVérifié 7 oct.
Download files
Artefacts du modèle
2 artefacts
Artefacts du modèle
2 artefactscheckpoint-1000/controlnet/diffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 1cfd760a605c…02b3 · Hugging Face
Download filediffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 1cfd760a605c…02b3 · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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]
Source context: 3 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Acopa/ControlNet_SDXL_128
Source context: 2 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Acopa/ControlNet_SDXL_128
