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:
- 7cd60e6d28ecdd408b6572e85c16f38941666c070b9e119cf0c5e86e0c302c77
- Size of remote file:
- 33.4 MB
- SHA256:
- 3220c5bec16e78ddf8e59c08fecdede7e8d31820cb5b3e69f17fed6a29a0b30c
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