Image-to-Video
Diffusers
Safetensors
video-generation
video diffusion transformer
joint-video-audio-generation
sparse-attention
high-resolution
Instructions to use FrancisRing/Prism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FrancisRing/Prism 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("FrancisRing/Prism", dtype=torch.bfloat16, device_map="cuda") pipe.to("cuda") prompt = "A man with short gray hair plays a red electric guitar." image = load_image( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png" ) output = pipe(image=image, prompt=prompt).frames[0] export_to_video(output, "output.mp4") - Notebooks
- Google Colab
- Kaggle
This model will be a strong competitor to the Minimax H3!
#3 opened about 3 hours ago
by
lucas-ai26
Git Repo Not Found Error
1
#2 opened about 4 hours ago
by
buntercodes
hi boss, insane release, impatiened to see results on it, could you make a comfy integration?
2
#1 opened about 18 hours ago
by
Perfs