Instructions to use Neu256/Arc-diffusion-v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neu256/Arc-diffusion-v1.0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Neu256/Arc-diffusion-v1.0", 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:
- 91c1e2bf18056591917837d987b8f3dcede78efa4c6da553f5c4cbfec8902bef
- Size of remote file:
- 492 MB
- SHA256:
- 9cb768b209b45e1e8b662e859c4f47c49b1edab4403b0f3a686716fa2b79e848
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