Diffusion Single File
Diffusers
Safetensors
PyTorch
hy-nomas
world-model
video-generation
interactive-video-generation
camera-control
autoregressive
diffusion-transformer
Instructions to use tencent/Hy-Nomas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use tencent/Hy-Nomas with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 1,097 Bytes
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{
"test_id": "forest_world",
"Style": "Cinematic fantasy",
"perspective_view": "Third-person view",
"subject_list": [
{
"subject_id": "fox",
"display_name": "a small orange fox",
"subject_attribute": "Orange fur, white chest, and a fluffy tail."
}
],
"segments": [
{
"start_time": "00:00.000",
"end_time": "00:05.000",
"visual_description_long": "A small orange fox stands on a stone path in a luminous forest. Blue fireflies drift between the trees.",
"contained_actions": [
{"start_time": "00:00.000", "end_time": "00:05.000", "action_description": "The fox walks slowly along the path."}
]
},
{
"start_time": "00:05.000",
"end_time": "00:10.000",
"description_change": "Glowing blue flowers open beside the path as the fox continues forward.",
"contained_actions": [
{"start_time": "00:05.000", "end_time": "00:10.000", "action_description": "The fox passes the flowers and looks around."}
]
}
]
}
]
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