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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 4e669780c56893b6df14291f355567ecb891228352b8aef48eadc3e303a218f0
- Size of remote file:
- 3.44 GB
- SHA256:
- 854ab73abd1a81ce6b8e2da8ef42b68e808c69cc55c4a4daba261f805b597b7a
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