Instructions to use amd/Micro-World with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/Micro-World with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("amd/Micro-World", 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:
- 5a95dc8e69d0adf9f66e636ebc7adcd56a018005dbe3ad1ef6a9c4f8140825fe
- Size of remote file:
- 357 MB
- SHA256:
- a395da7ef7776bd567efcc4b85aa4918a577c1399bf2a6967d981acf50ab04e2
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