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ControlNet Segmentation Sam Llava

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

KindControlNetVersiondiffusion_pytorch_modelBgrade

Model source

Kind
ControlNet
File size
1.35 GB
Version
vdiffusion_pytorch_model
Updated
Oct 7, 2026
Downloads
18
Source
Hugging Face

Source description

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

Sources

1 source
Hugging FacePrimaryVersion 6976b1aca223b43ada089fd58f8839f15a7c57a3
huggingface.co/lavinal712/controlnet-segmentation-sam-llava/tree/6976b1aca223b43ada089fd58f8839f15a7c57a3

Verified Oct 7

Model artifacts

1 artifact

diffusion_pytorch_model.safetensors

safetensors · 1.35 GB · SHA-256 792c2bb38530…efba · Hugging Face

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Source excerpts

3 excerpts

--- 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