Instructions to use amd/Micro-World-T2W with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/Micro-World-T2W 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-T2W", 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:
- 9e2e036028aa65a7401bdcc9052e06e972f2f196e21a27b95d596e2af8e6f57b
- Size of remote file:
- 4.32 GB
- SHA256:
- 46144735a50095b54751327934552cde9a3e091a624b19d29f12a1389bc4e2e7
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