# Stable Diffusion 3.5 Large

> 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

## Quick Reference

- Model ID: stable-diffusion-3.5-large
- Creator: Stability AI
- Status: active
- Family: stable-diffusion-3.5
- Base URL: https://api.lumenfall.ai/openai/v1

## Specifications

- Max Resolution: 1024x1024
- Input Modalities: text
- Output Modalities: image

## Model Identifiers

- Primary Slug: stable-diffusion-3.5-large

## Dates


## Tags

image-generation, text-to-image, open-weights

## Available Providers

### fal.ai

- Config Key: fal/stable-diffusion-3.5-large
- Provider Model ID: fal-ai/stable-diffusion-v35-large
- Pricing:
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "megapixel", "unit_price" => 0.065}]
  - source_url: https://fal.ai/models/fal-ai/stable-diffusion-v35-large
  - effective_at: 2025-12-29

### Replicate

- Config Key: replicate/stable-diffusion-3.5-large
- Provider Model ID: stability-ai/stable-diffusion-3.5-large
- Pricing:
  - source: official
  - currency: USD
  - components: [{"type" => "output", "metric" => "image", "unit_price" => 0.065}]
  - source_url: https://replicate.com/stability-ai/stable-diffusion-3.5-large
  - effective_at: 2025-12-30


## Arena Benchmarks

### Apollo 11: Journey to Tranquility

- Elo: 1249
- Record: 30W / 18L / 1T (49 battles)
- Rank: #1 of 19

### Fantasy Warrior

- Elo: 1236
- Record: 11W / 21L / 3T (35 battles)
- Rank: #3 of 19

### Modern Clean Menu

- Elo: 1197
- Record: 19W / 22L / 0T (41 battles)
- Rank: #7 of 19

### Victorian Greenhouse Oasis

- Elo: 1192
- Record: 19W / 32L / 2T (53 battles)
- Rank: #6 of 17

### Isometric Miniature Diorama Scenes

- Elo: 1179
- Record: 19W / 22L / 2T (43 battles)
- Rank: #9 of 19

### Geometric Composition

- Elo: 1170
- Record: 14W / 26L / 1T (41 battles)
- Rank: #10 of 22

### Candid Street Photography

- Elo: 1138
- Record: 11W / 29L / 3T (43 battles)
- Rank: #16 of 22

### Adorable Baby Animals in Sunny Meadow

- Elo: 1137
- Record: 7W / 37L / 1T (45 battles)
- Rank: #14 of 23

### Intricate Floral Mandala

- Elo: 1136
- Record: 9W / 31L / 1T (41 battles)
- Rank: #11 of 15

### Vintage Cafe Logo

- Elo: 1126
- Record: 9W / 38L / 0T (47 battles)
- Rank: #17 of 19

### Heroic Super Hero Portrait

- Elo: 1123
- Record: 4W / 52L / 1T (57 battles)
- Rank: #14 of 19


## Use Cases & Category Performance

### Text Rendering (Text-to-Image)

- Rank: #14 of 21
- Elo: 1210
- Record: 58W / 78L / 1T (137 battles)
- Win Rate: 42.3%

### Photorealism (Text-to-Image)

- Rank: #16 of 22
- Elo: 1168
- Record: 11W / 29L / 3T (43 battles)
- Win Rate: 25.6%

### Portrait (Text-to-Image)

- Rank: #15 of 19
- Elo: 1144
- Record: 11W / 21L / 3T (35 battles)
- Win Rate: 31.4%

### Product, Branding & Commercial (Text-to-Image)

- Rank: #19 of 19
- Elo: 1117
- Record: 9W / 38L / 0T (47 battles)
- Win Rate: 19.1%


## Image Gallery

14 images available for this model.
- Curated examples: 3
  - "Cinematic wide shot of a high-end, minimalist flagship store in a bustling metropolitan district at dusk. In the cent..."
  - "A portrait of an elderly artisan in a sun-drenched Mediterranean workshop, meticulously hand-painting a ceramic vase...."
  - "A cozy street-side bakery with a chalkboard sign out front that reads "FRESH SOURDOUGH" in elegant cursive. A tiny ca..."
- Competition results: 11
  - Apollo 11: Journey to Tranquility: #1 of 19 (Elo 1249)
  - Fantasy Warrior: #3 of 19 (Elo 1236)
  - Modern Clean Menu: #7 of 19 (Elo 1197)
  - Victorian Greenhouse Oasis: #6 of 17 (Elo 1192)
  - Isometric Miniature Diorama Scenes: #9 of 19 (Elo 1179)
  - Geometric Composition: #10 of 22 (Elo 1170)
  - Candid Street Photography: #16 of 22 (Elo 1138)
  - Adorable Baby Animals in Sunny Meadow: #14 of 23 (Elo 1137)
  - Intricate Floral Mandala: #11 of 15 (Elo 1136)
  - Vintage Cafe Logo: #17 of 19 (Elo 1126)
  - Heroic Super Hero Portrait: #14 of 19 (Elo 1123)

## Example Prompt

The following prompt was used to generate an example image in our playground:

A cozy street-side bakery with a chalkboard sign out front that reads "FRESH SOURDOUGH" in elegant cursive. A tiny capybara is peaking out from behind a stack of flour sacks in the sun-drenched corner of the shop window. 35mm photography.

## Code Examples

### Text to Image (Generation)

#### cURL

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": "..." }] }

#### JavaScript

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);

#### Python

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)


## About

## 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.

## Frequently Asked Questions

### How much does Stable Diffusion 3.5 Large cost?

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.

### How do I use Stable Diffusion 3.5 Large via API?

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.

### Which providers offer Stable Diffusion 3.5 Large?

Stable Diffusion 3.5 Large is available through fal.ai and Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.

### What is the maximum resolution for Stable Diffusion 3.5 Large?

Stable Diffusion 3.5 Large supports images up to 1024x1024 resolution.

## Links

- Model Page: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large
- About: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large/about
- Providers, Pricing & Performance: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large/providers
- API Reference: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large/api
- Benchmarks: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large/benchmarks
- Use Cases: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large/use-cases
- Gallery: https://lumenfall.ai/models/stability-ai/stable-diffusion-3.5-large/gallery
- Playground: https://lumenfall.ai/playground?model=stable-diffusion-3.5-large
- API Documentation: https://docs.lumenfall.ai