Stability AI's 8.1-billion parameter Multimodal Diffusion Transformer (MMDiT) text-to-image model featuring improved image quality, typography, complex prompt understanding, and resource-efficiency
Details
stable-diffusion-3.5-large
Ready to integrate?
Access stable-diffusion-3.5-large via our unified API.
Providers & Pricing (2)
Stable Diffusion 3.5 Large is available from 2 providers, with per-image pricing starting at $0.065 through fal.ai.
fal/stable-diffusion-3.5-large
replicate/stable-diffusion-3.5-large
Stable Diffusion 3.5 Large API OpenAI-compatible
Integrate Stable Diffusion 3.5 Large into your application via Lumenfall’s OpenAI-compatible API to generate high-resolution images from text prompts. This unified endpoint provides programmatic access to the model's Multimodal Diffusion Transformer for scalable media generation.
https://api.lumenfall.ai/openai/v1
stable-diffusion-3.5-large
curl -X POST \
https://api.lumenfall.ai/openai/v1/images/generations \
-H "Authorization: Bearer $LUMENFALL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "stable-diffusion-3.5-large",
"prompt": "A serene mountain landscape at sunset",
"size": "1024x1024"
}'
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.lumenfall.ai/openai/v1'
});
const response = await client.images.generate({
model: 'stable-diffusion-3.5-large',
prompt: 'A serene mountain landscape at sunset',
size: '1024x1024'
});
// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.lumenfall.ai/openai/v1"
)
response = client.images.generate(
model="stable-diffusion-3.5-large",
prompt="A serene mountain landscape at sunset",
size="1024x1024"
)
# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)
Benchmarks
Stable Diffusion 3.5 Large currently holds rank #21 in the Text-to-Image arena with a competitive Elo rating of 1225. This 8.1-billion parameter model utilizes a Multimodal Diffusion Transformer (MMDiT) architecture to balance prompt adherence with visual quality.
Competition Results
Apollo 11: Journey to Tranquility
Text-to-Image“Create a clean, modern vector infographic poster about the Apollo 11 mission. NASA-inspired palette (navy, white, muted red, light gray). Flat-vector style, crisp lines, consistent iconography, subtle gradients only. Steps (stop at landing): 1. Launch (Saturn Vicon) 2. Earth Orbit (Earth + orbit ring icon) 3. Translunar (trajectory arc icon) 4. Lunar Orbit (Moon + orbit ring icon) 5. Descent (lunar module descending icon) 6. Landing (lunar module on the surface icon) Small supporting elements (minimal text): • Crew strip: three silhouette icons with only last names: Armstrong, Aldrin, Collins. • Landing site marker: Moon pin labeled "Tranquility" only. Layout constraints: generous margins, large readable labels, clean background with subtle stars. Vector-only, print-poster look, high resolution.”
Fantasy Warrior
Text-to-Image“Close portrait of a battle-worn paladin in ornate engraved plate armor, hair braided with small beads, faint scars and dirt on the skin, warm torchlight reflecting off metal, shallow depth of field, bokeh sparks, lifelike eyes, highly detailed texture on leather straps and cloth underlayer.”
Modern Clean Menu
Text-to-Image“Modern minimalist restaurant menu design, white background with colorful food photos in grid, sections for appetizers/pizza/mains, bold sans-serif fonts, vibrant accents, clean professional layout for casual dining.”
Victorian Greenhouse Oasis
Text-to-Image“Hyper-photorealistic interior of a lush Victorian glass greenhouse filled with exotic tropical plants, vibrant blooming orchids, tall ferns, colorful butterflies in flight, sunlight filtering through ornate glass roof creating realistic caustics and dew on leaves, intricate iron framework visible, misty atmosphere, 8K masterpiece.”
Isometric Miniature Diorama Scenes
Text-to-Image“Create a clear, 45° top-down isometric miniature 3D cartoon scene of Japan's signature dish: sushi, with soft refined textures, realistic PBR materials, gentle lighting, on a small raised diorama base with minimal garnish and plate. Solid light blue background. At top-center: 'JAPAN' in large bold text, 'SUSHI' below it, small flag icon. Perfectly centered, ultra-clean, high-clarity, square format.”
Geometric Composition
Text-to-Image“A glass cube on a wooden table. Inside the cube is a small blue sphere. On top of the cube sits a red book. A green plant is behind the cube, partially visible through the glass. Soft window light from the left.”
Candid Street Photography
Text-to-Image“A candid street photo of an elderly Japanese man repairing a red bicycle in light rain, reflections on wet pavement, shallow depth of field, 50mm lens, natural skin texture, imperfect framing, motion blur from passing cars, cinematic but realistic, no stylization.”
Adorable Baby Animals in Sunny Meadow
Text-to-Image“Hyper-photorealistic scene of fluffy baby animals—a golden retriever puppy, tabby kitten, baby bunny, and red fox kit—with big expressive eyes and ultra-detailed soft fur, playfully chasing butterflies and tumbling together in a lush wildflower meadow, warm golden sunrise light with god rays and dew sparkles, joyful wholesome vibe, 8K masterpiece.”
Intricate Floral Mandala
Text-to-Image“Perfectly symmetrical mandala made entirely of real flowers, petals, leaves, fruits, and seeds in vibrant natural colors, intricate layered patterns with radial symmetry, top-down view on a soft neutral background, hyper-detailed organic textures and subtle shadows, photorealistic, 8K masterpiece.”
Vintage Cafe Logo
Text-to-Image“Vintage minimalist restaurant logo for "Caffè Florian", retro cloche dome with steam and "Est. 1720" banner, classic typography, warm brown and cream tones, subtle texture on light background, vector emblem style.”
Heroic Super Hero Portrait
Text-to-Image“Hyper-photorealistic full-body portrait of a female superhero standing triumphantly on a New York skyscraper rooftop at golden sunset, wearing a classic modest superhero costume with flowing cape, chest emblem, gloves, and boots in red and blue colors, practical design, short hair, strong determined heroic expression looking into the distance, powerful confident stance with hands on hips and cape billowing dramatically in the wind, detailed urban cityscape background, warm natural sunlight with sharp shadows and fabric highlights, ultra-sharp textures on suit, hair, and concrete, 8K masterpiece, empowering family-friendly style.”
Use Cases
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View all 14 imagesStable Diffusion 3.5 Large FAQ
Stable Diffusion 3.5 Large starts at $0.065 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.
You can use Stable Diffusion 3.5 Large through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "stable-diffusion-3.5-large". Code examples are available in Python, JavaScript, and cURL.
Stable Diffusion 3.5 Large is available through fal.ai and Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.
Stable Diffusion 3.5 Large supports images up to 1024x1024 resolution.
Overview
Stable Diffusion 3.5 Large is an 8.1-billion parameter text-to-image model developed by Stability AI. Built on the Multimodal Diffusion Transformer (MMDiT) architecture, it is designed to balance high-fidelity visual output with the ability to follow intricate, multi-part natural language instructions. This model represents a significant refinement in the Stable Diffusion lineage, focusing on improved prompt adherence and photorealism compared to its predecessors.
Strengths
- Complex Prompt Adherence: The model excels at interpreting long, descriptive prompts that include specific spatial relationships, multiple subjects, and detailed stylistic instructions.
- Typography and Text Rendering: It demonstrates a high degree of accuracy when generating legible text within images, minimizing the spelling errors common in earlier latent diffusion models.
- Subject Diversity: It is capable of generating a wide range of human skin tones, textures, and facial features without a strong inherent bias toward a single aesthetic style.
- Structural Composition: The MMDiT architecture allows the model to maintain better global consistency, ensuring that large-scale elements (like limbs or architectural features) are proportionally correct and logically placed.
Limitations
- Hardware Requirements: At 8.1 billion parameters, it requires significant VRAM for local inference, making it less suitable for consumer-grade hardware without quantization.
- Generation Speed: Due to its size and the complexity of the transformer-based backbone, it generally has higher latency per image compared to “Turbo” or “Lightning” versions of the SD3 family.
- Anatomical Edge Cases: While improved, the model can still struggle with extremely complex anatomical poses or highly overlapping human figures in crowded scenes.
Technical Background
The model utilizes a Multimodal Diffusion Transformer (MMDiT) architecture, which uses separate sets of weights for image and text representations but allows them to interact via a bidirectional flow of information. This approach enables the model to treat visual and textual data as equal contributors to the final output, improving the alignment between the user’s input and the generated pixels. The training process prioritized resource efficiency and stable convergence, allowing the 8.1B parameter model to outperform larger competitors in specific benchmark categories.
Best For
Stable Diffusion 3.5 Large is ideal for professional design workflows where precise control over composition and text is required, such as creating posters, book covers, or conceptual art from detailed briefs. It is a strong choice for users who need a versatile, general-purpose model that can handle both photorealistic and stylized requests without extensive fine-tuning.
This model is available for testing and integration through Lumenfall’s unified API and playground, allowing you to compare its output alongside other industry-standard image generation models.
Top Matchups
See how Stable Diffusion 3.5 Large performs head-to-head against other AI image models, ranked by community votes in blind comparisons.
Try Stable Diffusion 3.5 Large in Playground
Generate images with custom prompts — no API key needed.