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Dreamina 3.1

All image models
Image modelByteDance
OverviewText → Image

Overview

Dreamina 3.1 is an image generation model developed by ByteDance, the parent company of TikTok and CapCut. It is built to produce high-resolution, 4-megapixel outputs with a focus on cinematic lighting, nuanced reflections, and accurate text rendering. As part of ByteDance's generative media ecosystem alongside models like Seedream 4.0, it is useful for commercial design, poster creation, and generating photorealistic scenes that require precise style control.

Dreamina 3.1 Text to Image

Text → Image generation.

Specifications

Input mode
Text → Image
Aspect ratios
16:9, 9:16, 1:1, 4:3, 3:4, 16:10, 10:16, 3:2, 2:3, 3:1, 1:3
Pricing
5 credits / image — higher resolutions cost more
Typical generation time
~19s
Free tier
No

Text → Image examples

A surreal melting clock sits in a vast desert under a bright sun, its frame dissolving into a brown liquid puddle on the sand. This square image was generated at 2048x2048 resolution using the Dreamina 3.1 model, capturing the distorted clock face and desert dunes.Melting Clock in Desert — Dreamina 3.1A square-format digital image generated at 2048x2048 resolution by Dreamina 3.1. It shows a young woman with a flower crown laughing while taking a selfie on a gold iPhone inside a greenhouse. Her white lace dress, joyful expression, and the lush green background are brightly lit by natural sunlight.Greenhouse Selfie, Captured by Dreamina 3.1A close-up selfie-style image of a smiling young woman with a flower crown in her hair, wearing a white lace dress. She is standing inside a greenhouse filled with lush green plants. Generated using Dreamina 3.1 at 2048x2048 resolution via text-to-image.Dreamina 3.1: Greenhouse Selfie of a Smiling WomanA square 2048x2048 text-to-image generation from Dreamina 3.1 showing a close-up selfie of a smiling young woman wearing braces and a white lace dress. She has flowers in her hair and is laughing inside a greenhouse filled with lush green plants.Greenhouse Selfie of a Smiling Woman — Dreamina 3.1

What is Dreamina 3.1 best for?

Dreamina 3.1 by ByteDance is a cinematic image generation model that excels at producing high-resolution, photorealistic visuals. It is particularly strong at rendering nuanced lighting, sharp text, and complex textures like glossy reflections and fabrics. Creators frequently use it for luxury product photography, high-fidelity cinematic scenes, and polished social media assets.

When was Dreamina 3.1 released and what is its lineage?

ByteDance released Dreamina 3.1 in July 2025 as a major update to its Dreamina (known as Jimeng AI in China) and CapCut creative suites. It succeeded earlier models like Seedream 3.0 and was later superseded by the highly advanced Seedream 4.0 in September 2025, followed by Seedream 4.5 and Seedream 5.0 Lite.

How can I get the best results from Dreamina 3.1?

To get the best results from Dreamina 3.1, use detailed prompts that specify material properties, directional lighting, and camera framing. If you encounter issues like plastic-looking reflections or unnatural fabric drapes, follow the community's iterative image-to-image workflow: generate a base 2K image, upload it as a reference, and adjust your prompt to focus strictly on texture correction (e.g., "enhance visible linen weave texture"). For more techniques, consult official Dreamina tutorials.

Similar models

Flux 1.1 ProBlack Forest LabsFlux 1.1 UltraBlack Forest LabsImagen 4GoogleFlux Kontext MaxBlack Forest LabsFlux Kontext ProBlack Forest LabsNano Banana ProGoogle

Prompt tips

  • Quote your text: For accurate typography, place the exact words you want rendered inside quotation marks.
  • Specify lighting and architecture: Use terms like "natural window lighting," "clean geometric details," or "balanced composition" to leverage its strengths in architectural and fantasy scenes.
  • Define the medium: Explicitly state the desired format (e.g., "commercial photography," "cinematic film frame," or "3D-style graphics") to lock in the aesthetic.
  • Bilingual prompting: Take advantage of its native understanding of both English and Chinese prompts for nuanced cultural or regional details.
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