Instructions to use Neu256/Arc-diffusion-v1.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neu256/Arc-diffusion-v1.1 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-v1.1", 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:
- 72cf4403420cd06c8c49c21d292f38a3aec1496ecbaf96992a073ef023ad1d5d
- Size of remote file:
- 492 MB
- SHA256:
- 1a0e85043586f0bb360ce082373ed750f6d4db753055334c390c82caf2310a9d
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