Text-to-Video
Diffusers
Safetensors
English
efficient
mobile video generation
dit
pyramidal diffusion
Instructions to use Qualcomm-AI-Research/Neodragon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qualcomm-AI-Research/Neodragon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qualcomm-AI-Research/Neodragon", 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:
- 2f1f7a9ff7cba066284e46e298bed614c4d9a52f6d6e37d484ac3f00bffda776
- Size of remote file:
- 3.14 GB
- SHA256:
- ccc929881ee6a0474325998b2b80dcab199a39282ae773abf17a18c7fde0e31d
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