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SDXL ControlNet Object Remover Test

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

Fuentehuggingface.co/Vimax97/sdxl-controlnet-object-remover-test/tree/de2f8a9186424603de859b3a161debaa24712c16
TipoControlNetModelo baseSG161222/RealVisXL_V4.0Versióndiffusion_pytorch_modelBcalidad

Fuente del modelo

Tipo
ControlNet
Tamaño del archivo
4,66 GB
Modelo base
SG161222/RealVisXL_V4.0
Versión
vdiffusion_pytorch_model
Actualizado
6 oct 2026
Descargas
7
Fuente
Hugging Face

Descripción de la fuente

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]

Fuentes

1 fuente
Hugging FacePrincipalVersión de2f8a9186424603de859b3a161debaa24712c16
huggingface.co/Vimax97/sdxl-controlnet-object-remover-test/tree/de2f8a9186424603de859b3a161debaa24712c16

Verificado 6 oct

Artefactos del modelo

1 artefacto

diffusion_pytorch_model.safetensors

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

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Extractos de fuentes

3 extractos
Readme29 julhuggingface.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 octhuggingface.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 julhuggingface.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