Instructions to use MATLOWAI/MiniMax-H3-Motion-Adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MATLOWAI/MiniMax-H3-Motion-Adapter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image, export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-H3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MATLOWAI/MiniMax-H3-Motion-Adapter") prompt = "A man with short gray hair plays a red electric guitar." input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png") output = pipe(image=input_image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download examples/fight_quad/SHA256SUMS from MATLOWAI/MiniMax-H3-Motion-Adapter: direct link, hf CLI and curl.
- Browser
- Download file 1.13 kB
-
https://huggingface.co/MATLOWAI/MiniMax-H3-Motion-Adapter/resolve/main/examples/fight_quad/SHA256SUMS
- Command line
-
hf download hf://MATLOWAI/MiniMax-H3-Motion-Adapter/examples/fight_quad/SHA256SUMS
-
curl -L -o SHA256SUMS https://huggingface.co/MATLOWAI/MiniMax-H3-Motion-Adapter/resolve/main/examples/fight_quad/SHA256SUMS
1.13 kB
| fcc055044638a6c607e81c8b8a68172abd7c423eb37112f633a591662723f5a1 README.md | |
| a93ce6013937fd67c33e593e6ce6f418668bd009b33d14c0b76ccb2429744881 adapter.api.json | |
| de107701beb665ca29ffe687fc175457ecd2be6d1b1ccf4dbbffc24f8d2a7cbe adapter.canvas.json | |
| 529c4b88d07fe3f2f67f6687f887c0f85c9d2b70c20f5803488c9fbdae14eed8 comparison_verified_20260921.mp4 | |
| ece075f85d7749936e81122e980cf9b832a0fee306c4f44faa277502168889e3 fight_quad.api.json | |
| dac25dd67e47ea9cc0235ad83a22001acba8b5a6e896cd35a3df3ed6f8ee85ea fight_quad.canvas.json | |
| 3eb1c4061489b56e2d123846facdd188717647d48aa0bf529aca878d1ed3e7bd full_clip.api.json | |
| 3f75184fd6619d80edb2e719901a321aea008e64d7097bcacaa22f2a59d4d351 run.py | |
| 7fc34be58e061364f35fe37889cbc3bb5e5c3ff154053d1b4ce437655dd8993b seedhunt_20260963_00001_.mp4 | |
| ca5b9891e9bfa45e50082eb45c3363c43a97910230d9a3e79c47ea654e6665f0 source_generation.api.json | |
| 6752a721d593c26bc5a6852673c9239517a2932dd1c49fa967e320bbadaf2a09 verification.json | |
| d30101eeaa323f680f131e07a8d7e1947ed498bf3db43d3d974ee8e3ec7b379b windowed.api.json | |
| 5c0505349c4aab1a9e68c166c812fc299964b437927e05aab294d0a609cf5042 winner_verified_20260921.mp4 | |