Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use jackjcoop/car_sam_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jackjcoop/car_sam_model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jackjcoop/car_sam_model") pipe = StableDiffusionControlNetPipeline.from_pretrained( "stabilityai/stable-diffusion-2-1-base", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-5000/optimizer.bin from jackjcoop/car_sam_model: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/jackjcoop/car_sam_model/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://jackjcoop/car_sam_model/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jackjcoop/car_sam_model/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- 87838a5504faf051c7c58ee687a569e85d859f08fede2ee732a698182e0793ba
- Size of remote file:
- 2.91 GB
- SHA256:
- baa57d0fd6485f7b581ac1260aaa5d31447914f3cb41c43ab9c2a04ffc371a9f
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