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Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs.
images
Details
- Accepts
- text
Pricing
- Price
- 5 cr / image
Prices in credits (1 credit = $0.01).
Data schema
Input
| Field | Type | Description |
|---|---|---|
| seed | — | The same seed and prompt given to the same model version will produce the same image every time. |
| promptrequired | string | Text prompt describing the image to generate. |
| sync_mode | boolean | If `True`, the image is returned as a data URI and the output data won't be available in the request history. |
| image_size | — | The size of the generated image. Each edge is clamped to 512-1280px (multiples of 16). |
| num_images | integer | The number of images to generate. |
| output_format | stringenum: jpeg, png | The format of the generated image. |
| guidance_scale | number | Classifier-free guidance scale. Higher values increase prompt adherence at the cost of diversity. |
| negative_prompt | string | Content to steer the generation away from (colors, objects, artifacts). |
| agentic_early_stop | boolean | Stop early when a candidate image is already a strong match for the prompt. |
| num_inference_steps | integer | Number of denoising steps. More steps yield higher quality but take longer. |
| enable_safety_checker | boolean | Enable content moderation for the input prompt and generated images. Disabling it requires account authorization; unauthorized requests are always checked, and images flagged as unsafe are returned as black images. |
| agentic_max_iterations | integer | Maximum number of refinement rounds when agentic generation is enabled. |
| enable_prompt_expansion | boolean | |
| enable_agentic_generation | boolean | Automatically generate and compare multiple candidate images, then refine the prompt between rounds to better match the original request. This can improve prompt adherence but increases latency and billable image generations. |
| agentic_samples_per_iteration | integer | Candidate images to generate and judge per agentic iteration. The best candidate advances to the next rewrite stage. |
Output
| Field | Type | Description |
|---|---|---|
| seed | integer | The seed used for generation. |
| images | array | The generated images. |
| has_nsfw_concepts | array | Whether each generated image was flagged by the safety checker. |