Instructions to use ShinnosukeU/testing_man1v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ShinnosukeU/testing_man1v2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ShinnosukeU/testing_man1v2", 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:
- 92f03a67a3c72b759b80570d4839a6ec7b4177d981bfb028245e20810dce35dd
- Size of remote file:
- 3.44 GB
- SHA256:
- 27bd35ad26babbe0cae331e8ebaa3a17fed6e248cc8224a1e6bd83cfb5e3e899
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