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
- Xet hash:
- 2c70c9d40c774fed6b77ca7b7bfb4b57858d513695d2b96c65edefce6a3f0aed
- Size of remote file:
- 237 MB
- SHA256:
- 7da306765904ec0b02e9cc8a33406250818680a1ad0b63384ae73cd58d4ef6cc
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