Instructions to use vvtq/model_out_4k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vvtq/model_out_4k with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("vvtq/model_out_4k") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4ac72e832641edde845593901740cf7d8b0f8df41f07c05d6c71f518fc0ece09
- Size of remote file:
- 1.45 GB
- SHA256:
- 47ce5126514e340625fb0de10ceab99905f7ba6bd50066d32fcc9038c32e28d4
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