Instructions to use manbeast3b/quantized4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manbeast3b/quantized4 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/quantized4", 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:
- 1034c026b38a62fb9629e9c9c9d13ebebf61d5143499ca336eb86b99c55d6345
- Size of remote file:
- 2.48 MB
- SHA256:
- 07179e6ad8455ae35d8195b4b3c292c64d7f7ac8cfe23bb1cc7b43ac571af014
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