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 light_vae/diffusion_pytorch_model.safetensors from amd/Micro-World-2: direct link, hf CLI and curl.
- Browser
- Download file 152 MB
-
https://huggingface.co/amd/Micro-World-2/resolve/main/light_vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://amd/Micro-World-2/light_vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/amd/Micro-World-2/resolve/main/light_vae/diffusion_pytorch_model.safetensors
152 MB
- Xet hash:
- 4321895cb666dd9be4bfdc4b7fffe9386de1709490c22dbed9867d01b4dbf7d4
- Size of remote file:
- 152 MB
- SHA256:
- 04be976c369c5ce0d48cbe6685244fdb40fc42a23594d7c3c4470c5610b5d09f
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