FLUX1.1 [pro] Ultra
FLUX1.1 [pro] Ultra is a Black Forest Labs image generation model served through an API.
Key Highlights
4 MP Output
The API supports image generation up to 4 megapixels.
Raw Mode
Raw mode is available for a photographic appearance.
Image Reference
The influence of a reference image is adjustable.
About
FLUX1.1 [pro] Ultra is a Black Forest Labs image generation model served through an API. It supports output up to 4 megapixels, Raw mode, and image references.
The Ultra API endpoint is /flux-pro-1.1-ultra. Raw mode is an option for a photographic appearance, and image-reference influence is adjustable. Four megapixels does not imply 3840×2160 or higher 4K output at every aspect ratio. Check the output dimensions for your intended use.
Parameter count, architecture details, and release date are omitted because they were not verified in this review. API use does not imply a local GPU or fixed VRAM requirement.
Source: https://docs.bfl.ai/flux_models/flux_1_1_pro_ultra_raw
Use Cases
Visual Drafts
Produce content drafts, then review accuracy, quality, and usage rights before publishing.
Pros & Cons
Pros
- Output up to 4 megapixels
- Raw mode and image-reference options
Cons
- Requires API access and compliance with provider terms
- Output quality varies with the prompt and input image
Technical Details
Parameters
Unknown
Architecture
Unknown
Training Data
Unknown
License
Proprietary
Features
- Text-to-Image
- Up to 4MP Output
- Raw Mode
- Image Reference
Benchmark Results
| Metric | Value | Compared To | Source |
|---|---|---|---|
| Max Resolution | 4MP | — | https://docs.bfl.ai/flux_models/flux_1_1_pro_ultra_raw |
Available Platforms
Frequently Asked Questions
Related Models
Adobe Firefly
Adobe Firefly is a commercially safe AI image generation model developed by Adobe, distinguished by being trained exclusively on licensed Adobe Stock content, openly licensed material, and public domain works. This training approach directly addresses the copyright concerns that surround most AI image generators, making Firefly uniquely suited for commercial and enterprise use where legal compliance is essential. Integrated natively into Adobe's Creative Cloud applications including Photoshop, Illustrator, and Adobe Express, Firefly powers features like Generative Fill, Generative Expand, and Text Effects, enabling seamless AI-assisted workflows within tools that millions of creative professionals already use daily. The model generates high-quality images across diverse styles with strong prompt adherence and particularly excels at producing content that feels commercially polished and brand-appropriate. Adobe provides an IP indemnification program for enterprise customers, offering legal protection against copyright claims related to Firefly-generated content. The model supports text-to-image generation, style transfer, text effects, and generative editing features. It is accessible through Adobe applications, the dedicated Firefly web interface, and an API for developers. Content creators, marketing teams, advertising agencies, and enterprise design departments value Firefly for its legal safety, seamless integration with existing Adobe workflows, and consistent professional output quality. While it may not achieve the artistic flexibility or raw creative potential of models like Midjourney, its commercial safety and professional tool integration make it indispensable for businesses requiring legally defensible AI-generated content.
Adobe Firefly 3
Adobe Firefly 3 is the third generation of Adobe's commercially safe generative AI model family, released in April 2024 as the backbone of AI features across Adobe Creative Cloud applications including Photoshop, Illustrator, and Adobe Express. The model delivers significant improvements over Firefly 2 in photorealistic quality, prompt adherence, and creative versatility. Adobe Firefly 3 was trained exclusively on licensed Adobe Stock content, openly licensed material, and public domain content, making it one of the few enterprise-grade AI image models that provides full intellectual property indemnification to commercial users. The model generates images with dramatically improved detail, more natural lighting and shadows, richer textures, and better human rendering compared to its predecessor. Firefly 3 powers features like Generative Fill and Generative Expand in Photoshop, Text to Image generation in Adobe Express, and vector generation capabilities in Illustrator. The model supports Structure Reference and Style Reference controls that allow users to maintain consistency across multiple generations. Available through Adobe's applications, the Firefly web interface, and the Firefly API for enterprise integration, the model serves creative professionals, marketing teams, and enterprise content producers. Firefly 3 supports various aspect ratios and outputs at resolutions suitable for both digital and print workflows. Adobe's commitment to Content Credentials ensures all Firefly-generated images carry metadata indicating AI origin, supporting content authenticity standards.
DALL-E 2
DALL-E 2 is OpenAI's second-generation image generation model that pioneered accessible AI image creation when it launched in 2022, introducing millions of users to the possibilities of text-to-image generation. Built on a diffusion model architecture with CLIP-based text understanding, DALL-E 2 generates images at 1024x1024 resolution from natural language descriptions. The model introduced several innovative capabilities that were groundbreaking at its release, including inpainting for editing specific regions of an image, outpainting for extending images beyond their original boundaries, and variations for creating alternative versions of existing images. DALL-E 2 demonstrated that AI could generate creative, coherent, and visually appealing images from simple text descriptions, sparking the entire consumer AI image generation revolution. While it has been superseded in quality by its successor DALL-E 3 and competitors like Midjourney v6 and FLUX.1, DALL-E 2 remains available through the OpenAI API at significantly reduced pricing, making it a cost-effective option for applications where maximum image quality is not the primary concern. The model offers reliable performance for basic image generation, simple editing tasks, and prototype creation. Developers building applications with high-volume image generation needs, educators creating visual materials, and hobbyists exploring AI art on a budget continue to use DALL-E 2. Its historical significance as one of the first widely accessible AI image generators that brought text-to-image technology to mainstream awareness cannot be overstated.
DALL-E 3
Historical model profile: DALL-E 3 was removed from the OpenAI API on May 12, 2026. The capabilities below describe this earlier model, not the current OpenAI image service. DALL-E 3 is OpenAI's earlier text-to-image generation model, deeply integrated with ChatGPT to provide an intuitive conversational interface for creating images. Unlike previous versions, DALL-E 3 natively understands context and nuance in text prompts, eliminating the need for complex prompt engineering. The model can generate highly detailed and accurate images from simple natural language descriptions, making AI image generation accessible to users without technical expertise. Its architecture builds upon diffusion model principles with proprietary enhancements that enable exceptional prompt fidelity, meaning images closely match what users describe. DALL-E 3 excels at rendering readable text within images, understanding spatial relationships, and following complex multi-part instructions. The model supports various artistic styles from photorealism to illustration, cartoon, and oil painting aesthetics. Safety features are built in at the model level, with content policy enforcement and metadata marking using C2PA provenance standards. DALL-E 3 is available through the ChatGPT Plus subscription and the OpenAI API, making it suitable for both casual users and developers building applications. Content creators, marketers, educators, and product designers use it extensively for social media graphics, presentation visuals, educational materials, and rapid concept exploration. As a closed-source proprietary model, it prioritizes safety, accessibility, and seamless user experience over customization flexibility.