Instructions to use AIAddicts/VashirLewd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIAddicts/VashirLewd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIAddicts/VashirLewd", 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:
- 3bc9a040c8eb1be7eb8fb5aa963b26382dcff49d29dddc3b5dd6fb88574711d7
- Size of remote file:
- 492 MB
- SHA256:
- f8a0194ae35888d76f0b4a7cce2878ce55a6ae20413edc597f1c59786616fc2a
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