Image-Text-to-Video
Diffusers
Safetensors
MiniMax H3
image-to-video
audio-video-generation
dmd
bf16
int8
turbodiffusion
Instructions to use TurboDiffusion/TurboH3-FL2VA-I2VA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TurboDiffusion/TurboH3-FL2VA-I2VA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("TurboDiffusion/TurboH3-FL2VA-I2VA", 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
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- 2.12 GB xet
- 1.75 GB xet
- 2.12 GB xet
- 1.75 GB xet
- 2.12 GB xet
- 1.75 GB xet
- 2.12 GB xet
- 1.75 GB xet
- 2.12 GB xet
- 1.81 GB xet
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