Instructions to use Neu256/arc-diffusion-1.2.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Neu256/arc-diffusion-1.2.1 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-1.2.1", 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:
- 9f37eacbab7e82e994ac2ea106803c9b523a402698839bdd60315510200805bf
- Size of remote file:
- 246 MB
- SHA256:
- a3cdaae90c709d026a58186e3dfb9d9ab901a48a93dc7f3b0a93d16ffc2b343f
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