FLUX makes it easy to generate and edit images. Run models with one line of code and focus on building cool stuff.
Most powerful model. Good for:
Fast, high-quality generation. Good for:
Professional inpainting and outpainting. Good for:
Structure-preserving image editing. Good for:
Image variations and restyling. Good for:
Open source version of FLUX. Good for:
The fast one. Good for:
You can fine-tune FLUX models with your own images. This lets you:
Test different FLUX models in the playground:
Want to dig deeper? Here are some good places to start:
Questions? Join us on Discord.
Featured models

Max-quality image generation and editing with support for ten reference images
Updated 9 hours ago
4.3K runs

High-quality image generation and editing with support for eight reference images
Updated 10 hours ago
34.1K runs

Quality image generation and editing with support for reference images
Updated 2 days, 2 hours ago
5.7K runs
Recommended Models
If you want rapid generation or real-time results, black-forest-labs/flux-schnell is built for speed. It’s great for prototypes, interactive tools, or local applications where quick iteration matters most.
For editing tasks, black-forest-labs/flux-redux-schnell provides fast image variation and restyling while keeping core visual elements intact.
black-forest-labs/flux-1.1-pro delivers the best mix of image quality, versatility, and efficiency. It’s suitable for both creative and professional work and performs well across a variety of prompts.
If you need slightly higher fidelity or larger output sizes, black-forest-labs/flux-1.1-pro-ultra gives you 4-megapixel images and enhanced realism, especially in “raw” mode.
For pure text-to-image generation, black-forest-labs/flux-1.1-pro-ultra produces the most detailed, photorealistic images, while black-forest-labs/flux-1.1-pro is a more efficient alternative with similar style control.
If you’re experimenting or building lightweight apps, black-forest-labs/flux-schnell is ideal for quick generation with good visual coherence.
If you’re editing or extending images, black-forest-labs/flux-fill-pro is the top choice for inpainting and outpainting—it blends additions naturally and can remove or replace objects seamlessly.
For structure-preserving edits (like retexturing or adjusting composition while maintaining depth or edges), black-forest-labs/flux-depth-pro and black-forest-labs/flux-canny-pro give you fine control over spatial relationships and outlines.
The FLUX family has three main groups:
Most FLUX models output high-resolution images up to 4 megapixels, depending on the variant.
Editing models (like black-forest-labs/flux-fill-pro or black-forest-labs/flux-depth-pro) produce updated versions of your original image, while text-to-image models generate entirely new images based on your prompt.
You can run open-weight versions such as black-forest-labs/flux-dev, black-forest-labs/flux-fill-dev, or black-forest-labs/flux-depth-dev locally using Cog or Docker.
To publish your own fine-tuned model, train it using black-forest-labs/flux-pro-trainer with a set of images, then use the resulting finetune_id to run your customized version with black-forest-labs/flux-pro-finetuned.
Yes—most FLUX models are licensed for commercial use, especially black-forest-labs/flux-1.1-pro and black-forest-labs/flux-1.1-pro-ultra.
Always check the License section on the model’s page for confirmation, particularly if you’re deploying outputs at scale or selling generated assets.
Go to a model’s page on Replicate, upload an input image (if editing) or type a text prompt (if generating from scratch).
Choose optional parameters like raw mode, creativity, or guidance strength to control realism and variation. Then run the model to preview and download the output.
Recommended Models

A premium text-based image editing model that delivers maximum performance and improved typography generation for transforming images through natural language prompts
Updated 2 weeks ago
8.8M runs

A state-of-the-art text-based image editing model that delivers high-quality outputs with excellent prompt following and consistent results for transforming images through natural language
Updated 2 weeks ago
36.8M runs

FLUX1.1 [pro] in ultra and raw modes. Images are up to 4 megapixels. Use raw mode for realism.
Updated 2 weeks, 2 days ago
19.1M runs

Faster, better FLUX Pro. Text-to-image model with excellent image quality, prompt adherence, and output diversity.
Updated 2 weeks, 2 days ago
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Inference model for FLUX.1 [pro] using custom `finetune_id`
Updated 2 weeks, 2 days ago
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State-of-the-art image generation with top of the line prompt following, visual quality, image detail and output diversity.
Updated 2 weeks, 2 days ago
13.7M runs

Professional inpainting and outpainting model with state-of-the-art performance. Edit or extend images with natural, seamless results.
Updated 2 weeks, 5 days ago
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Professional edge-guided image generation. Control structure and composition using Canny edge detection
Updated 3 weeks, 5 days ago
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Professional depth-aware image generation. Edit images while preserving spatial relationships.
Updated 3 weeks, 5 days ago
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A 12 billion parameter rectified flow transformer capable of generating images from text descriptions
Updated 5 months ago
32.8M runs

The fastest image generation model tailored for local development and personal use
Updated 5 months ago
554.4M runs

Train FLUX.1 [pro] and FLUX 1.1 [pro] Ultra. Upload images to create a custom finetune_id to use with the inference model
Updated 6 months, 4 weeks ago
4K runs

Open-weight inpainting model for editing and extending images. Guidance-distilled from FLUX.1 Fill [pro].
Updated 7 months, 3 weeks ago
1.2M runs

Fast, efficient image variation model for rapid iteration and experimentation.
Updated 8 months, 1 week ago
63.7K runs

Open-weight image variation model. Create new versions while preserving key elements of your original.
Updated 8 months, 1 week ago
269K runs

Open-weight depth-aware image generation. Edit images while preserving spatial relationships.
Updated 8 months, 1 week ago
882.1K runs

Open-weight edge-guided image generation. Control structure and composition using Canny edge detection.
Updated 8 months, 1 week ago
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