Instructions to use amd/Micro-World-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use amd/Micro-World-2 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-2", 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
Download causal-forcing-init/model.pt from amd/Micro-World-2: direct link, hf CLI and curl.
- Browser
- Download file 20 GB
-
https://huggingface.co/amd/Micro-World-2/resolve/main/causal-forcing-init/model.pt
- Command line
-
hf download hf://amd/Micro-World-2/causal-forcing-init/model.pt
-
curl -L -o model.pt https://huggingface.co/amd/Micro-World-2/resolve/main/causal-forcing-init/model.pt
20 GB
- Xet hash:
- b3755cbf84b44ae0fc9e88dd39bc3c3b280839cb503697af9f257acd96c12c81
- Size of remote file:
- 20 GB
- SHA256:
- ca08d2e40d142e3c110392394dffce5ee63965e70597db9ad6f1466a0a72c215
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