Instructions to use NO8D/ImagingControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/ImagingControl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NO8D/ImagingControl", dtype=torch.bfloat16, device_map="cuda") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download fisheye.safetensors from NO8D/ImagingControl: direct link, hf CLI and curl.
- Browser
- Download file 41.4 MB
-
https://huggingface.co/NO8D/ImagingControl/resolve/main/fisheye.safetensors
- Command line
-
hf download hf://NO8D/ImagingControl/fisheye.safetensors
-
curl -L -o fisheye.safetensors https://huggingface.co/NO8D/ImagingControl/resolve/main/fisheye.safetensors
41.4 MB
- Xet hash:
- 80a6be38692d08dde343bd7053bbb2b824ba81c2ac9623fc7c5c238e50bc6bd7
- Size of remote file:
- 41.4 MB
- SHA256:
- 1441acb430b5bb2fe53a30c68bad7a4c6b28bb1d5e532e17cb6395d8d6f93e4e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.