Instructions to use trojblue/HunyuanVideo-lora-AnimeShots with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use trojblue/HunyuanVideo-lora-AnimeShots with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import export_to_video # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tencent/HunyuanVideo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("trojblue/HunyuanVideo-lora-AnimeShots") prompt = "anime girl 1girl, alcohol carton, blush, braid, bridge, crosswalk, dress, green dress, holding carton, long hair, long sleeves, multiple girls, night, open mouth, outdoors, pedestrian bridge, purple eyes, red hair, single braid, solo focus, spaghetti strap" output = pipe(prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Download v0.1/ComfyUI_00024_.webp from trojblue/HunyuanVideo-lora-AnimeShots: direct link, hf CLI and curl.
- Browser
- Download file 1.23 MB
-
https://huggingface.co/trojblue/HunyuanVideo-lora-AnimeShots/resolve/main/v0.1/ComfyUI_00024_.webp
- Command line
-
hf download hf://trojblue/HunyuanVideo-lora-AnimeShots/v0.1/ComfyUI_00024_.webp
-
curl -L -o ComfyUI_00024_.webp https://huggingface.co/trojblue/HunyuanVideo-lora-AnimeShots/resolve/main/v0.1/ComfyUI_00024_.webp
1.23 MB

- Xet hash:
- dd46eb944804b71d595da2852702fa3aec038a88bc8d853048cd446f3e07f458
- Size of remote file:
- 1.23 MB
- SHA256:
- 7d8767ac9bdfad92007ea0b8c3ead4f8cca472423aa630133f64a3afca796786
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