Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
Art
Open
OpenNiji
Stable Diffusion
Niji
Nijijourney
Stylised
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/OpenNijiRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/OpenNijiRemix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/OpenNijiRemix", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from Yntec/OpenNijiRemix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/OpenNijiRemix/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/OpenNijiRemix@refs/pr/3/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/OpenNijiRemix/resolve/refs%2Fpr%2F3/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 13ac508432343de8f0235a575aae5165852747fea26feb5ce9903e881e2bb3b8
- Size of remote file:
- 492 MB
- SHA256:
- 17dcb46c75b788498c53d25350293d952ae74171062f0ac8334a8ef48e51447e
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