Text-to-Image
Diffusers
Safetensors
stable-diffusion
stable-diffusion-diffusers
controlnet
diffusers-training
Instructions to use jackjcoop/car_point_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jackjcoop/car_point_model with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("jackjcoop/car_point_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_point_model: direct link, hf CLI and curl.
- Browser
- Download file 2.91 GB
-
https://huggingface.co/jackjcoop/car_point_model/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://jackjcoop/car_point_model/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jackjcoop/car_point_model/resolve/main/checkpoint-5000/optimizer.bin
2.91 GB
- Xet hash:
- eb2b1b551370e276374b52513f93f7529c1c0dea9d9d0ca0aa6c3ff35e686f7d
- Size of remote file:
- 2.91 GB
- SHA256:
- b0bd9dcbbd559816314aaa7c66bbd188e2062421a29b54132d4b8bbeb6dc2323
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