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AI 모델/Grok Imagine
GrokxAIBudget

Grok Imagine

xAI's Aurora-powered image generation model delivering photorealistic rendering, precise instruction following, and native image editing at the lowest cost per generation

1 크레딧부터
1024x1024
~3-5 seconds
지금 시작크레딧 가격
Grok Imagine

Grok Imagine으로 할 수 있는 것

Photorealistic Rendering

Aurora excels at rendering precise visual details of real-world entities, text, logos, and realistic human portraits

Native Image Editing

Edit and transform existing images with multimodal input — the model takes direct inspiration from or edits user-provided images

Full Creative Pipeline

Five endpoints covering text-to-image, image editing, text-to-video, image-to-video, and video editing in one model

샘플 갤러리

About Grok Imagine (Aurora)

Grok Imagine is powered by Aurora, xAI's proprietary autoregressive mixture-of-experts model released in December 2024. Unlike diffusion-based image generators, Aurora is trained to predict the next token from interleaved text and image data — the same architectural approach used for language models — giving it a deep, semantically grounded understanding of the world. This enables Aurora to outperform models like Imagen 3, Flux.1 Pro, Ideogram 2.0, and DALL-E 3 on real-world entity generation benchmarks, particularly for complex scenes involving branded objects, readable text, meme formats, and realistic human portraits.

What Makes Aurora Unique

Aurora's architecture provides two distinct advantages over standard diffusion models. First, its native multimodal input support means the model doesn't just generate from text — it can take direct inspiration from a reference image or precisely edit user-provided images without requiring a separate inpainting or ControlNet pipeline. Second, because it was trained on billions of internet examples with interleaved text and image tokens, it handles prompt nuances (specific brand colors, typographic styles, compositional directions) more literally than models that treat prompts as simple embeddings.

xAI benchmarked Aurora against leading competitors on five categories: entity generation, artistic text, meme generation, realistic portraits, and celebrity likenesses. In head-to-head comparisons, Aurora consistently reproduced specific real-world objects (like the Cybertruck) with more accurate geometry and surface detail than Flux.1 Pro and DALL-E 3. The model's text-rendering capability is a particular strength — meme layouts, signs, and on-image typography appear legible where competing models often garble characters.

Image vs. Image Editing Capabilities

CapabilityAPI EndpointCost (fal.ai)
Text to Imagexai/grok-imagine-image$0.02 / image
Image Editingxai/grok-imagine-image/edit$0.022 / image
Text to Videoxai/grok-imagine-video/text-to-video$0.05–$0.07 / second
Image to Videoxai/grok-imagine-video/image-to-video$0.05–$0.07 / second
Video Editingxai/grok-imagine-video/edit-video$0.05–$0.07 / second

On this platform, Grok Imagine text-to-image costs just 1 credit per image — the lowest cost tier available. This makes it the ideal model for bulk concept generation, prototyping, and any workflow where volume matters more than maximum resolution. For finished creative work, you can prototype with Grok Imagine and then refine specific images using premium models.

Practical Tips for Best Results

  • Specify real-world entities precisely: Aurora's training on internet-scale data means it recognizes specific products, architectural styles, and cultural references well. Name the exact object rather than describing it generically.
  • Leverage text-in-image prompts: Unlike most image models, Aurora handles on-image text reliably. Specify font style, placement, and exact wording in your prompt.
  • Use image editing for style transfer: The image-to-image endpoint preserves structural content while applying style changes. For consistent character or product shots across a series, start with one generated image and edit variants rather than regenerating from scratch.
  • Combine with video endpoints: Aurora is the same model underlying Grok Imagine's video generation, which is ranked #1 on the Artificial Analysis Video Arena for both Text-to-Video and Image-to-Video and generates synchronized native audio in a single pass — no post-production required.

기술 사양

최대 해상도1024x1024
화면 비율1:1, 16:9, 9:16, 4:3, 3:4, 2:3, 3:2
생성 속도~3-5 seconds
출력 형식PNG

Model Variants

Grok Imagine
text to image

크레딧 가격

1

크레딧

1 크레딧 = $0.012

사용 사례

Brand & Product Visualization

Render precise product details, text overlays, and logos with accuracy that outperforms Imagen 3, Flux.1 Pro, and DALL-E 3

Rapid Concept Iteration

Generate multiple image concepts at 1 credit each — the lowest cost option for high-volume creative exploration

Social Media Content

Produce platform-ready images in multiple aspect ratios (16:9, 9:16, 1:1) for every major social channel

유사 모델

Flux 2
Popular
image
Black Forest Labs

Black Forest Labs

Flux 2

Black Forest Labs' production-grade image generation model family delivering 4MP photorealistic output, multi-reference consistency across up to 10 images, and reliable text rendering — all in sub-10-second generation speeds.

text-to-imageimage-to-imagephotorealistic

3 크레딧부터

Nano Banana
Fast
image
Google

Google

Nano Banana

Google's Gemini Flash-powered image generation and editing model that went viral for its speed, real-world knowledge, and AI-assisted editing capabilities.

text-to-imageimage-to-imagefast

2 크레딧부터

GPT Image 1.5
Premium
image
OpenAI

OpenAI

GPT Image 1.5

OpenAI's flagship natively multimodal image model with industry-leading instruction following, precise region-aware editing, and best-in-class text rendering — now up to 4x faster than its predecessor.

text-to-imageimage-to-imagehigh-quality

10 크레딧부터

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