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", torch_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:
- 0cb2808d871b661ede3b335fe9b71b21279ea2a23e05c413e33f791a78eea36c
- Size of remote file:
- 492 MB
- SHA256:
- 623c8fd4c04b1786dc0f9ccc18e1565a16cf2252c5d52a5482b8e28ad848e572
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