SDXL ControlNet Text Remover v1
These are controlnet weights trained on stabilityai/stable-diffusion-xl-base-1.0 with new type of conditioning.
Fuente del modelo
- Tipo
- ControlNet
- Tamaño del archivo
- 4,66 GB
- Modelo base
- stabilityai/stable-diffusion-xl-base-1.0
- Versión
- vdiffusion_pytorch_model
- Actualizado
- 6 oct 2026
- Descargas
- 5
- Fuente
- Hugging Face
Descripción de la fuente
controlnet-Vimax97/sdxl-controlnet-text-remover-v1
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]
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 6 oct
Download files
Artefactos del modelo
2 artefactos
Artefactos del modelo
2 artefactoscheckpoint-500/controlnet/diffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 08de0b878c15…0563 · Hugging Face
Download filediffusion_pytorch_model.safetensors
safetensors · 4,66 GB · SHA-256 08de0b878c15…0563 · Hugging Face
Download fileExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- 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-Vimax97/sdxl-controlnet-text-remover-v1 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: 5 downloads · 1 likes · Pipeline text-to-image · Library diffusers · Repo Vimax97/sdxl-controlnet-text-remover-v1
Source context: 8 downloads · 1 likes · Pipeline text-to-image · Library diffusers · Repo Vimax97/sdxl-controlnet-text-remover-v1
