Instructions to use Yntec/NovelAIRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NovelAIRemix 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/NovelAIRemix", 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:
- 6798e8aa2313c5296ac0d18a4ba11735bcbd807829cef95c5ab27b4c0fadc847
- Size of remote file:
- 246 MB
- SHA256:
- 727db83f938d3f415b1358c97246d029ff0053cb474edb3d0d046825397ebc93
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