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ControlNet Segmentation Sam Llava

This is controlnet weight trained on runwayml/stable-diffusion-v1-5 with segmentaion.

TipoControlNetVersãodiffusion_pytorch_modelBnota

Fonte do modelo

Tipo
ControlNet
Tamanho do arquivo
1,35 GB
Versão
vdiffusion_pytorch_model
Atualizado
7 de out. de 2026
Downloads
18
Fonte
Hugging Face

Descrição da fonte

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

Fontes

1 fonte
Hugging FacePrimárioVersão 6976b1aca223b43ada089fd58f8839f15a7c57a3
huggingface.co/lavinal712/controlnet-segmentation-sam-llava/tree/6976b1aca223b43ada089fd58f8839f15a7c57a3

Verificado 7 de out.

Artefatos de modelo

1 artefato

diffusion_pytorch_model.safetensors

safetensors · 1,35 GB · SHA-256 792c2bb38530…efba · Hugging Face

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Trechos de fonte

3 trechos

--- 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