Instructions to use Vijish/arch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vijish/arch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vijish/arch", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 7d3c007cfce147381929ddec6e64ad3f8847b3d663e0868e914b70c74ab241c2
- Size of remote file:
- 492 MB
- SHA256:
- 12e3a9e58def018e787d5690b1003f5f62a65836b14eee667ae199b09b55a07d
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