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STABLE-DIFFUSION
A text-to-image model that generates high-resolution images with fine details. It supports various artistic styles and produces diverse outputs from the same prompt, thanks to Query-Key Normalization.
Avg Run Time: 8.000s
Model Slug: stable-diffusion-3-5-large
Playground
Input
Enter a URL or choose a file from your computer.
Click to upload or drag and drop
image/jpeg, image/png, image/jpg, image/webp (Max 50MB)
Output
Example Result
Preview and download your result.
API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
stable-diffusion-3.5-large — Text-to-Image AI Model
Developed by Stability as part of the stable-diffusion family, stable-diffusion-3.5-large is a powerhouse text-to-image AI model that generates professional-grade images up to 1 megapixel resolution with exceptional prompt adherence. This 8-billion-parameter model excels at producing highly detailed visuals from text prompts, making it ideal for creators and developers seeking Stability text-to-image solutions that deliver precise, high-quality outputs on consumer hardware. Whether you're crafting photorealistic portraits or intricate artistic scenes, stable-diffusion-3.5-large ensures faithful interpretation of complex prompts, setting it apart in the competitive landscape of text-to-image AI models.
Technical Specifications
What Sets stable-diffusion-3.5-large Apart
stable-diffusion-3.5-large stands out with its massive 8 billion parameters, enabling maximum detail and professional quality that rivals larger proprietary systems while running efficiently on standard consumer GPUs. This scale allows for superior handling of intricate details in images up to 1 megapixel, such as 1024x1024 or equivalent aspect ratios like 1024x576, without requiring enterprise hardware—perfect for stable-diffusion-3.5-large API integrations in scalable apps.
Unlike speed-optimized variants like SD 3.5 Large Turbo (4 steps), this model uses 20+ inference steps for peak fidelity, delivering exceptional prompt adherence that accurately renders complex descriptions with natural lighting, textures, and compositions. Developers benefit from faster iteration in production workflows, as it generates 1024x1024 images in seconds on mid-range setups, consuming around 7.5-8.5 GB VRAM in FP16.
- 1 Megapixel Resolution Support: Produces sharp, high-res outputs ideal for commercial use, supporting formats like 1024x1024 for professional prints or web assets.
- Consumer Hardware Optimization: Runs smoothly on standard GPUs (12GB+ recommended), democratizing access to top-tier text-to-image AI model performance.
- Superior Prompt Fidelity: Excels at multi-element prompts with precise spatial understanding, outperforming in photorealism and detail over lighter models.
Key Considerations
Prompt Specificity: Detailed prompts yield more accurate and relevant images.Overly vague or contradictory prompts may lead to unexpected results.
Legal Information
By using this model, you agree to:
- Stability AI API agreement
- Stability AI Terms of Service
Tips & Tricks
How to Use stable-diffusion-3.5-large on Eachlabs
Access stable-diffusion-3.5-large seamlessly through Eachlabs' Playground for instant text-to-image testing, API for production-scale integrations, or SDK for custom apps. Input a detailed text prompt (up to 1000 tokens), optional reference images, and select resolutions up to 1 megapixel like 1024x1024; receive high-quality PNG outputs with precise adherence in seconds. Start generating professional images today on Eachlabs.
---Capabilities
High-Quality Image Generation: Produces photorealistic images with high fidelity to the input prompt.
Versatile Style Adaptation: Capable of emulating a wide range of artistic styles, from realistic photography to abstract art.
Prompt Adherence: Demonstrates strong alignment with detailed and complex textual descriptions.
What Can I Use It For?
Use Cases for stable-diffusion-3.5-large
For designers building e-commerce visuals, stable-diffusion-3.5-large transforms product shots via prompts like "A professional portrait of a CEO in a modern office, natural lighting, 8k resolution, highly detailed, photorealistic," generating 1MP composites with accurate lighting and textures—eliminating costly photoshoots while ensuring brand-consistent high-res assets.
Marketers leveraging Stability text-to-image for campaigns can input detailed scene descriptions to create diverse ad visuals, such as cyberpunk cityscapes or product placements, benefiting from the model's 8B parameters for coherent, prompt-faithful results across styles in under 4 seconds on optimized hardware.
Developers integrating stable-diffusion-3.5-large API into apps for custom image generation appreciate its efficiency on consumer devices, enabling real-time previews of user prompts with professional detail—ideal for creative tools or AI image generators targeting mobile workflows.
Artists exploring artistic styles use its excellent adherence for iterative refinement, producing varied outputs from the same prompt at resolutions like 576x1024, streamlining concept art pipelines without high-end rigs.
Things to Be Aware Of
Style Blending: Combine multiple artistic styles in a single prompt to create unique, hybrid images.
Scene Composition: Experiment with different scene descriptions to explore the model's interpretative capabilities.
Lighting Effects: Adjust lighting parameters in your prompts to see how the model renders various atmospheres and moods.
Limitations
Complex Scenes: Struggles with overly intricate prompts or highly specific scenes.
Resolution: Dependent on output_quality settings; very high resolutions may not always maintain sharpness.
Reproducibility: Randomized seed values can make it hard to recreate exact results.
Art Style Consistency: May vary in maintaining a consistent artistic style across multiple outputs.
Output Format: WEBP,JPG,PNG
Pricing
Pricing Detail
This model runs at a cost of $0.065 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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