ControlNet Segmentation Sam Llava
This is controlnet weight trained on runwayml/stable-diffusion-v1-5 with segmentaion.
Fuente del modelo
- Tipo
- ControlNet
- Tamaño del archivo
- 1,35 GB
- Versión
- vdiffusion_pytorch_model
- Actualizado
- 7 oct 2026
- Descargas
- 18
- Fuente
- Hugging Face
Descripción de la fuente
Model Card for lavinal712/controlnet-segmentation-sam-llava
Model Description
This is controlnet weight trained on runwayml/stable-diffusion-v1-5 with segmentaion.
Training
This model was trained using a Segmented dataset based on the SAM-LLaVA-Captions10M Dataset. Stable Diffusion v1.5 checkpoint was used as the base model for the controlnet.
Training Method
- Train on SAM-LLAVA-55k for 60000 steps with batch size of 4.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 7 oct
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactodiffusion_pytorch_model.safetensors
safetensors · 1,35 GB · SHA-256 792c2bb38530…efba · Hugging Face
DescargarExtractos de fuentes
3 extractos
Extractos de fuentes
3 extractos--- license: mit datasets: - unography/SAM-LLAVA-55k language: - en library_name: diffusers pipeline_tag: image-to-image tags: - stable-diffusion --- # Model Card for lavinal712/controlnet-segmentation-sam-llava ## Model Description This is controlnet weight trained on runwayml/stable-diffusion-v1-5 with segmentaion. ### Training This model was trained using a Segmented dataset based on the SAM-LLaVA-Captions10M Dataset. Stable Diffusion v1.5 checkpoint was used as the base model for the controlnet. - [SAM-LLAVA-55k](https://huggingface.co/datasets/unography/SAM-LLAVA-55k) #### Training Method - Train on [SAM-LLAVA-55k](https://huggingface.co/datasets/unography/SAM-LLAVA-55k) for 60000 steps with batch size of 4.
Source context: 18 downloads · 0 likes · Pipeline image-to-image · Library diffusers · Repo lavinal712/controlnet-segmentation-sam-llava
Source context: 8 downloads · 0 likes · Pipeline image-to-image · Library diffusers · Repo lavinal712/controlnet-segmentation-sam-llava
