Image-Text-to-Video
MiniMax H3
Diffusers
Safetensors
text-to-video
image-to-video
video-to-video
text-to-audio-video
image-to-audio-video
image-text-to-audio-video
video-to-audio-video
audio-to-audio-video
audio-video-generation
multimodal
synchronized-audio-video
reference-to-audio-video
Instructions to use Syninlab/Megan-M1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Syninlab/Megan-M1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Syninlab/Megan-M1", 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
Download processor/tokenizer.json from Syninlab/Megan-M1: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/Syninlab/Megan-M1/resolve/main/processor/tokenizer.json
- Command line
-
hf download hf://Syninlab/Megan-M1/processor/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Syninlab/Megan-M1/resolve/main/processor/tokenizer.json
7.03 MB
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