Instructions to use Neu256/arc-diffusion-1.3-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neu256/arc-diffusion-1.3-dev 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-1.3-dev", 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:
- 33a5f928537ab5dbe9b4a81351f9be3c58544fe4636a7ebd31426bdfd3cb5faf
- Size of remote file:
- 246 MB
- SHA256:
- 6a96aeaa5bc4079a5df088d861f867f8eb2a3363b47eabab16958a1a7fdd1187
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