STABLE-DIFFUSION
Stable Diffusion 3.5 Medium is 2.5 billion parameter image model with improved MMDiT-X architecture
Avg Run Time: 8.000s
Model Slug: stable-diffusion-3-5-medium
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-medium — Text-to-Image AI Model
Developed by Stability as part of the stable-diffusion family, stable-diffusion-3.5-medium is a text-to-image AI model that generates high-quality images from text prompts with exceptional speed and efficiency on consumer hardware. This 2.5-4 billion parameter model delivers photorealistic results and accurate text rendering, solving common issues like garbled typography in previous versions while matching the quality of larger models. Ideal for developers seeking a Stability text-to-image solution or creators needing fast text-to-image AI model generation, stable-diffusion-3.5-medium supports resolutions from quarter to two megapixels, making it accessible without high-end GPUs.
Technical Specifications
What Sets stable-diffusion-3.5-medium Apart
stable-diffusion-3.5-medium stands out in the text-to-image landscape with its optimized MMDiT-X architecture, enabling superior text rendering within images that earlier Stable Diffusion models struggled with. This capability allows users to create logos, posters, and memes with legible, distortion-free text on the first try, reducing iterations compared to SD XL or SD 1.5.
It achieves photorealistic outputs with nuanced lighting, textures, and details from complex prompts, rivaling larger 8B models but generating in seconds on standard hardware. Developers benefit from this efficiency for scalable stable-diffusion-3.5-medium API integrations in apps requiring quick, high-fidelity visuals.
With support for 9.9GB VRAM minimum and customizable parameters like generation steps (20-50 typical), guidance scale, and seed for reproducibility, it offers precise control over outputs up to 2 megapixels. This makes it a top choice for text-to-image AI model workflows balancing quality and speed.
- Accurate text generation: Renders clear text in images, overcoming limitations of prior models for professional graphics.
- Consumer hardware efficiency: Runs seamlessly on 9.9GB+ VRAM GPUs, delivering results in seconds.
- Photorealism from complex prompts: Handles detailed scenes with logical coherence and realistic details.
Key Considerations
Prompt Length: Avoid excessively long prompts as they may confuse the model. Aim for concise yet descriptive instructions.
Style Consistency: When generating multiple images, use the same seed to maintain consistency across outputs.
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-medium on Eachlabs
Access stable-diffusion-3.5-medium through Eachlabs' Playground for instant text-to-image generation, API for scalable integrations, or SDK for custom apps. Provide a detailed text prompt, adjust steps, guidance scale, resolution (up to 2MP), and seed; receive high-quality PNG outputs in seconds with photorealistic detail and accurate text. Eachlabs handles the compute for seamless, pro-grade results.
---Capabilities
Generates high-quality images based on textual descriptions.
Offers flexibility in style, format, and aspect ratio.
Supports reproducible outputs using seed values.
Balances creative and literal interpretations through prompt strength and CFG.
What Can I Use It For?
Use Cases for stable-diffusion-3.5-medium
Graphic designers crafting marketing materials can input prompts like "A sleek tech logo with 'Innovate 2026' in bold sans-serif font on a gradient blue background, photorealistic metallic sheen" to generate distortion-free assets instantly, streamlining poster and banner production without manual editing.
Developers building Stability text-to-image apps for e-commerce use stable-diffusion-3.5-medium's speed to create product visuals, such as placing items in custom scenes with accurate lighting, enabling real-time customization for online stores on modest servers.
Content creators producing social media graphics leverage its text rendering for memes and ads, generating high-res images with overlaid promotions that maintain legibility across devices, ideal for rapid iteration in viral campaigns.
Marketers needing diverse visuals for campaigns input detailed prompts for photorealistic scenes, benefiting from the model's prompt adherence to include all elements like specific poses and environments without multiple retries.
Things to Be Aware Of
Stylized Imagery:
Experiment with descriptive prompts like "a futuristic city skyline at sunset, cyberpunk style" to explore different aesthetics.
Photorealistic Results:
Use prompts with clear specifications, e.g., "a close-up of a golden retriever lying on a wooden floor with sunlight streaming through the window."
Iterative Refinement:
Start with a broad concept, then refine prompts and settings to perfect the output.
Creative Variations:
Adjust the seed, aspect ratio, and CFG to produce diverse versions of the same idea.
Limitations
Complex Scenes: The model may struggle with highly intricate scenes or overlapping elements. Simplify prompts if needed.
Abstract Prompts: Results can be unpredictable for abstract or vague instructions. Be specific to achieve better outcomes.
Fine Details: Extremely fine details may require higher steps and CFG values, increasing generation time.
Output Format:JPG,PNG,WEBP
Pricing
Pricing Detail
This model runs at a cost of $0.035 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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