**Prompt:** A majestic zebra stands proudly in the golden savanna at sunset, its bold black-and-white stripes contrasting against the warm, amber-hued grasslands. The zebra’s head is lifted high, ears perked, as if listening to distant sounds, while a gentle breeze rustles its short mane. Surrounding it are scattered acacia trees with twisted branches, their silhouettes sharp against the vibrant sky. The artistic style is photorealistic with a touch of dramatic lighting, emphasizing the zebra’s sleek form and the rich textures of its environment. The color palette blends deep oranges, soft purples, and earthy browns, evoking a serene yet wild mood. Shot from a low angle to accentuate the zebra’s grandeur, the composition frames it slightly off-center, with a shallow depth of field blurring the distant horizon. A flock of birds takes flight in the background, adding dynamism to the scene.
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Flux 1.1 Pro, developed by Black Forest Labs, is a cutting-edge generative model that boosts performance with six times faster image generation, superior image quality, and improved prompt compliance and output diversity.
Flux.1 Dev is an open-source AI painting model from the FLUX series, created by Black Forest Labs. It significantly enhances image quality and speed, excelling in detail handling for human features and text embedding.
Flux.1 Pro, designed by Black Forest Labs, is an advanced text-to-image model that generates high-quality, realistic images and clear text. It offers flexible versions for developers and commercial applications, making it perfect for various creative projects.
Flux.1 Schnell is an open-source AI image generation model by Black Forest Labs that rapidly produces stunning images in just 1 to 4 steps. It outperforms competitors like Midjourney and DALL·E 3, making it ideal for art, advertising, and game development.
Experience Flux 1.1 Pro Ultra, offering up to 4 times higher resolution for stunning image clarity. Generate high-quality images in just 10 seconds. This advanced AI model ensures fast creation with improved prompt adherence and diverse outputs.
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