Aller au contenu
ModelPrésentéExterne
Télécharger

SDXL ControlNet Object Remover Test

These are controlnet weights trained on SG161222/RealVisXLV4.0 with new type of conditioning.

Sourcehuggingface.co/Vimax97/sdxl-controlnet-object-remover-test/tree/de2f8a9186424603de859b3a161debaa24712c16
TypeControlNetModèle de baseSG161222/RealVisXL_V4.0Versiondiffusion_pytorch_modelBClasse

Source du modèle

Type
ControlNet
Taille du fichier
4,66 GB
Modèle de base
SG161222/RealVisXL_V4.0
Version
vdiffusion_pytorch_model
Mis à jour
6 oct. 2026
Téléchargements
7
Source
Hugging Face

Description de la source

controlnet-Vimax97/sdxl-controlnet-object-remover-test

These are controlnet weights trained on SG161222/RealVisXL_V4.0 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
Hugging FacePrincipalVersion de2f8a9186424603de859b3a161debaa24712c16
huggingface.co/Vimax97/sdxl-controlnet-object-remover-test/tree/de2f8a9186424603de859b3a161debaa24712c16

Vérifié 6 oct.

Artefacts du modèle

1 artefact

diffusion_pytorch_model.safetensors

safetensors · 4,66 GB · SHA-256 271f4d7daa5b…e610 · Hugging Face

Télécharger

Extraits de sources

3 extraits
Readme29 juil.huggingface.co/Vimax97/sdxl-controlnet-object-remover-test

--- base_model: SG161222/RealVisXL_V4.0 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-Vimax97/sdxl-controlnet-object-remover-test These are controlnet weights trained on SG161222/RealVisXL_V4.0 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]

Note6 oct.huggingface.co/Vimax97/sdxl-controlnet-object-remover-test

Source context: 7 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Vimax97/sdxl-controlnet-object-remover-test

Note29 juil.huggingface.co/Vimax97/sdxl-controlnet-object-remover-test

Source context: 1 downloads · 0 likes · Pipeline text-to-image · Library diffusers · Repo Vimax97/sdxl-controlnet-object-remover-test