AI 模型 · flux
FLUX.2 Flex (ultra)
High-quality image generation and editing with up to 10 references
10 CR / RUN · flux · 306.6K RUNS
简介
flux-2-flex is built for max-quality image generation and editing, giving you fine control over how images are created and refined. It supports up to ten reference images, making it a strong fit for workflows that need visual consistency.
With controls for prompt, steps, guidance, aspect ratio, resolution, dimensions, seed, and output settings, it offers flexibility for both exploration and repeatable results. Its strong adoption on Replicate also signals a model many creators are already putting to work.
优势
- 01Supports image generation and editing
- 02Accepts up to 10 reference images
- 03Flexible control over size, ratio, and resolution
- 04Seed support for repeatable outputs
- 05Adjustable output format and quality
示例提示词
Create a cinematic portrait of a futuristic fashion model at golden hour, ultra-detailed, soft rim lighting, realistic skin texture, shallow depth of field
试试这个提示词Using the reference images for style and character consistency, generate a clean editorial product scene with a luxury watch on dark stone, dramatic studio lighting
试试这个提示词Edit the input image into a rainy neon-lit street scene at night while preserving the main subject, reflective pavement, moody atmosphere, high detail
试试这个提示词Design a cozy modern living room with natural wood, large windows, indoor plants, Scandinavian styling, bright morning light, photorealistic
试试这个提示词使用场景
Consistent brand visuals
Use multiple reference images to keep style, subject, or art direction aligned across a set of generated images.
Image editing and refinement
Start from input images and transform, restyle, or enhance them with prompt-driven edits while keeping key visual elements in place.
Creative concept development
Explore different compositions, moods, and formats by adjusting prompts, aspect ratios, and generation settings.
Repeatable production workflows
Use seed control and configurable output settings to reproduce looks more reliably across iterations.
常见问题
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