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
- Xet hash:
- bcbbf289552cbcfb8c7e42d8c3aa3ca83b70dbdd57cfe99621f7103b4d60a26b
- Size of remote file:
- 246 MB
- SHA256:
- 16ceb24f0730e2fef7879b9fd4e350e294762914777af69a3e271a70315b02c0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.