Instructions to use aigrils2/beautifulv6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aigrils2/beautifulv6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aigrils2/beautifulv6", 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:
- 81597cc2bc195f3b90e59d22bfd5d2392fd1efb80ca49f23d367de552929fa87
- Size of remote file:
- 335 MB
- SHA256:
- 28e5593ec3b3394c1ab3547b0ecd4ecafdaf7d35866a27d6f5cbc221e1b37d75
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