Instructions to use manbeast3b/quantized3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manbeast3b/quantized3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("manbeast3b/quantized3", 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
- Xet hash:
- 3ef3436c6d962bc27052f4a25ffbc78268428c807ef44357f93fa20693c54892
- Size of remote file:
- 2.47 MB
- SHA256:
- 54267f2585c219fe47650ba2f86fa3a343c2f111412213cb6668a49dde3c0114
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