Reve 2.1 Text To Image

Reve 2.1 Text To Image

Playground

Reve 2.1 Text-to-Image generates high-quality images from text prompts, with strong layout intelligence, accurate text rendering, and reliable composition for posters, ads, product visuals, and typography-rich designs. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Reve 2.1 Text to Image

Reve 2.1 Text to Image generates detailed, layout-aware images from natural-language prompts. It is built for dense compositions, accurate text rendering, and high-resolution visual creation across editorial, marketing, product, and creative workflows.

Why Choose This?

• Detailed image generation
  Create high-quality images from natural-language prompts.

• Layout-aware composition
  Generate structured visuals with clear subject placement, visual hierarchy, and scene organization.

• Strong text rendering
  Suitable for prompts that require readable text, posters, labels, or graphic layouts.

• Standard image output
  Generated images are returned as URLs in the standard WaveSpeed prediction response.

Parameters

How to Use

1. Write your prompt — Describe the subject, composition, style, lighting, and any text that should appear in the image.
2. Choose aspect ratio — Select an aspect ratio to let the model choose the best layout.
3. Choose output format — Select png, jpeg, or webp when needed.
4. Submit — Generate the image and retrieve the output URL.

Pricing

Best Use Cases

• Editorial visuals — Generate structured visuals for articles, covers, and layout-driven creative assets.
• Marketing images — Create campaign visuals, promotional graphics, and branded content.
• Product concepts — Explore product scenes, packaging ideas, and commercial compositions.
• Text-heavy designs — Generate posters, signs, labels, and dense layouts with readable text.
• Creative image generation — Produce high-resolution visual concepts from detailed prompts.

Pro Tips

• Describe layout, hierarchy, and the relationship between major elements.
• Put exact wording in quotation marks when text must appear in the image.
• Be specific about subject placement, lighting, color palette, and visual style.
• Use png for high-quality general output, jpeg for smaller files, and webp for web-friendly images.

<ApiPage model={model}>
  ## Authentication

  For authentication details, please refer to the [Authentication Guide](/docs-authentication).

  ## API Endpoints

  ### Submit Task & Query Result

  ## Parameters

  ### Task Submission Parameters

  #### Request Parameters

  #### Response Parameters

  <SubmitResponse />

  #### Result Request Parameters

  | Parameter | Type | Required | Default | Description |
  |-----------|------|----------|---------|-------------|
  | id | string | Yes | - | Task ID |

  #### Result Response Parameters

  | Parameter | Type | Description |
  |-----------|------|-------------|
  | code | integer | HTTP status code (e.g., 200 for success) |
  | message | string | Status message (e.g., "success") |
  | data | object | The prediction data object containing all details |
  | data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
  | data.model | string | Model ID used for the prediction |
  | data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
  | data.urls | object | Object containing related API endpoints |
  | data.urls.get | string | URL to retrieve the prediction result |
  | data.status | string | Status of the task: `created`, `processing`, `completed`, or `failed` |
  | data.created_at | string | ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z") |
  | data.error | string | Error message (empty if no error occurred) |
  | data.timings | object | Object containing timing details |
  | data.timings.inference | integer | Inference time in milliseconds |

</ApiPage>