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bghira /minimax-h3-lora-test:9b8e03fb
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
Text prompt for MiniMax H3 video and audio generation
|
|
| mode |
None
|
Auto
|
Task family. Auto uses Ref2VA when reference inputs are provided, otherwise FL2VA/T2VA.
|
| cache_mode |
None
|
Fast
|
Transformer block-cache strength
|
| image |
string
|
Optional first keyframe for FL2VA generation
|
|
| last_image |
string
|
Optional last keyframe for FL2VA generation
|
|
| reference_image |
string
|
Optional Ref2VA image reference
|
|
| reference_video |
string
|
Optional Ref2VA video reference. A soundtrack in the file is used as that reference's audio.
|
|
| reference_audio |
string
|
Optional Ref2VA audio reference. Must be paired with an image or video reference.
|
|
| reference_manifest |
string
|
|
Optional JSON list of Ref2VA references for URL/path inputs. Entries may be strings or objects with image, video, audio, fps, and sample_rate fields.
|
| reference_order |
string
|
image,video,audio
|
Order for the simple Ref2VA reference inputs
|
| lora |
string
|
Optional LoRA path, URL, Hugging Face repo id, comma-separated list, or JSON list
|
|
| lora_scale |
number
|
1
Min: -4 Max: 4 |
Default LoRA scale
|
| lora_scales |
string
|
Optional comma-separated or JSON list of scales matching lora
|
|
| aspect_ratio |
None
|
16:9
|
Output aspect ratio
|
| resolution |
None
|
544p
|
Output resolution tier
|
| num_frames |
integer
|
124
Min: 120 Max: 345 |
Frame count. Rounded up to MiniMax H3's 17n+5 frame grid.
|
| num_inference_steps |
integer
|
0
Max: 80 |
Actual transformer evaluations. Use 0 for the base model default of 20.
|
| seed |
integer
|
0
|
Random seed. Use 0 for a random seed.
|
| save_compile_cache |
boolean
|
False
|
Write torch compiler cache artifacts after this run if available
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}