AI 模型 · stability
SD 3.5 Large Turbo
High-resolution text-to-image generation with detailed results in fewer steps.
10 CR / RUN · stability · 1.1M RUNS
简介
stable-diffusion-3.5-large-turbo is a text-to-image model from Stability AI built for high-resolution image generation with fine details. It supports a wide range of artistic styles and is designed to produce strong results with fewer inference steps.
It’s a practical choice for creators who want fast iteration without giving up visual richness. With controls for prompt guidance, aspect ratio, negative prompts, seeds, and image input strength, it gives you room to explore both consistent and diverse outputs.
优势
- 01Generates high-resolution images with fine detail
- 02Designed for quality results with fewer inference steps
- 03Supports a variety of artistic styles
- 04Can produce diverse outputs from the same prompt
- 05Offers prompt, seed, and negative prompt controls
- 06Includes image input for guided generation workflows
示例提示词
a cinematic portrait of a futuristic explorer in a neon-lit city, ultra-detailed, dramatic lighting, high resolution
试试这个提示词a cozy mountain cabin at sunrise, painterly style, soft mist, warm light, detailed environment
试试这个提示词an editorial fashion shoot featuring bold streetwear, studio lighting, clean backdrop, crisp textures
试试这个提示词a fantasy castle carved into a cliff above the sea, golden hour, intricate architecture, epic scale
试试这个提示词使用场景
Concept art exploration
Generate detailed visual directions for characters, environments, and scenes. The model’s support for diverse outputs makes it useful for exploring multiple creative angles from one idea.
Marketing visuals
Create polished, high-resolution images for campaigns, social posts, and promotional concepts. Its fine-detail output helps when you need visuals that feel rich and finished.
Style testing
Try the same prompt across different artistic looks to compare tone and presentation. This is helpful when refining creative direction before committing to a final style.
Image-guided generation
Use an input image with prompt strength controls to steer the result toward a reference. This can support remixing, variation generation, or guided visual development.
常见问题
相关模型
