Video-to-Video
Diffusers
Safetensors
ti2v
motion-transfer
comfyui
video-generation
image-to-video
video-edit
Instructions to use SandwichZ/Wan2.2-Fun-5B-FLEXAM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SandwichZ/Wan2.2-Fun-5B-FLEXAM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SandwichZ/Wan2.2-Fun-5B-FLEXAM", 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 assets/fg_edit.gif from SandwichZ/Wan2.2-Fun-5B-FLEXAM: direct link, hf CLI and curl.
- Browser
- Download file 5.25 MB
-
https://huggingface.co/SandwichZ/Wan2.2-Fun-5B-FLEXAM/resolve/main/assets/fg_edit.gif
- Command line
-
hf download hf://SandwichZ/Wan2.2-Fun-5B-FLEXAM/assets/fg_edit.gif
-
curl -L -o fg_edit.gif https://huggingface.co/SandwichZ/Wan2.2-Fun-5B-FLEXAM/resolve/main/assets/fg_edit.gif
5.25 MB

- Xet hash:
- d20815ac91858fae9891a0183467366e4a8b30ecceb64478381d17e0e1a5e9f9
- Size of remote file:
- 5.25 MB
- SHA256:
- cf8be80255bc6ab7f785f841416770234f8326d9516314dee62b641326253732
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