A free local SDXL image generator focused on prompts, presets and straightforward image editing. The project is in limited long-term support with bug fixes only.
Fooocus is a local image generator designed to reduce the amount of manual parameter tuning needed to begin. Its central workflow is simple: describe an image, choose an appropriate preset and generate candidates. Image inputs, variation, upscaling and region editing provide ways to develop a promising result instead of starting over every time.
The project explicitly reports limited long-term support with bug fixes only. Its foundation is Stable Diffusion XL, with no current plan to incorporate newer model architectures. That makes it a focused option for an established SDXL workflow, rather than a general promise of access to every newly released image model.
Explore an illustration concept
Develop a background treatment
Repair a local visual detail
Learn local image generation
Official product image. Click to inspect the details.
Use the official repository
Prepare models and storage
Generate a controlled sample
Refine and save a separate result
Example prompt or task: A small ceramic teapot on a wooden studio table, soft side lighting, warm neutral background, generous empty space on the right for a headline. Compare two compositions before refining the background.
This is an editorial example, not a measured quality claim. Add final typography in a suitable design tool and inspect the generated object before using it as a representation of a real product.
No required local image-credit purchase. Similar-name websites are not automatically the official project.
Fooocus is free local software under GPL-3.0. It does not require buying image credits from an official Fooocus cloud service for the local route. You provide compatible hardware, model storage and processing time; model checkpoints can have separate conditions.
An online service using the Fooocus name or code may set its own prices and data policies. It is not automatically operated by the original project. The official repository also includes notebook-related material, but this listing does not promise permanently available free hosted GPU resources.
Yes, the official project offers free local software under GPL-3.0. Hardware and checkpoint conditions remain separate.
No. The project states that it is SDXL-based and currently has no plan to incorporate newer architectures.
Its stated status is limited LTS with bug fixes only. Choose it for its existing workflow rather than assuming rapid feature expansion.
Not automatically. The authors identify the GitHub repository as the official source and warn about unrelated sites using the name.
Supported image workflows include variation, inpainting, outpainting and image guidance. The result still needs visual review.
No. Requirements differ by GPU family, operating system and workload. Read the documented table instead of applying one headline number to all devices.
It can generate plausible detail. Treat the result as an enhanced or reinterpreted image, not proof of content absent from the original.
Explore platforms, inputs and outputs, licensing, and access requirements.
The project documents Windows and Linux installation, with additional platform-specific routes and limitations. Its minimum requirements depend on GPU family and platform; the often-quoted 4 GB figure is not a universal requirement for every card or configuration. Check the current table for the actual machine.
First use can download substantial model files, and changing presets or using inpainting can require additional assets. Keep the environment and model paths organized. The official screenshot here is a historical example with resource monitors, not a contemporary benchmark or a claim that your hardware will have the same speed.
The intended local workflow runs on your computer after the required files are available. A third-party hosted installation introduces a different operator and data path, even if its interface resembles the local application.
Use reference images you have permission to process and preserve originals. Software and model licensing are separate from rights in an uploaded image or a generated depiction. Keep notes on meaningful synthetic changes when the result will be presented as a factual visual record.
Reviewed October 3, 2026. Product facts come from the official sources below. Suggested projects, prompts and review methods are FindGoodAI editorial guidance, not measured performance results.
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