Text-to-Video
Diffusers
Safetensors
English
MotifVideoPipeline
image-to-video
video-generation
diffusion-transformer
Instructions to use Nishant2414/Motif-Video-2B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nishant2414/Motif-Video-2B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nishant2414/Motif-Video-2B", 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:
- dbe6102b2cfc6d997f09cd96d44ee1f101b032d6168a0bd7c0ce416174439511
- Size of remote file:
- 260 kB
- SHA256:
- 33f619ed4c78c185e5e40fec1b774dee5573e3f8f3a405785ebe9552b2a02c33
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