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JWildfireSwan
Explore the infite beauty of flame-fractals in a (even more) playful way
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Release Date:
March 2025
Developer:
Publisher:
Andreas Maschke
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Early Access Software

Get involved with this software as it develops.

Note: This Early Access software is not complete and may or may not change further. If you are not excited to use this software in its current state, then you should wait to see if it progresses further in development. Learn more

What the developers have to say:

Why Early Access?

“While I have a clear vision for the core product and it is already in a very good state, I want to give the community the opportunity to steer the development in the direction they want.

Another advantage is that users can access the application immediately instead of waiting until version 1.0.”

Approximately how long will this software be in Early Access?

“I think 6 months is a good range. So we can expect version 1.0 to be released in August 2025.”

How is the full version planned to differ from the Early Access version?

“I have at least the following milestones planned (for version 1.0) right now:
- integrated gradient-library and curve-based gradient editor
- motion-curve editor for fine-tuning key-frame based animation
- optional integration of some video-encoding package, maybe ffmpeg
- support for true-color-textures for use inside of fratals (e.g. use your favourite photos)
- dof-blur-shapes, as known from JWildfire
- mutations, maybe as separate module
- support for more variations (currently, about 400 are are supported)
- more options to modify background color
- Linux version (via Steam)
- optimizations for Steam Deck”

What is the current state of the Early Access version?

“Currently, the application is fully operational and you can create endless beautiful things with it. Key features:
- GPU rendering on all supported devices, with significantly improved rendering quality (vibrant colors, incredible level of fractal detail)
- powerful, lean and fast flame editor that offers a pleasant user experience
- supports the same file format as JWildfire. You can therefore exchange flames between both applications
- support for affine and post-affine transformations as well as pre-variations, regular variations, post-variations and pre-post-variations
- numerous sophisticated random flame and random gradient generators
- key frame-based animation
- rendering in upto 8k (on GPU devices with enough memory)”

Will this software be priced differently during and after Early Access?

“The price in Early Access will be slightly reduced, about 25%”

How are you planning on involving the Community in your development process?

“There are numerous ways to participate in the development:
- join our Discord or Facebook group
- use the Steam Community features to discuss feature requests
- join the official JWildfireSwan forum”
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This game is not yet available on Steam

Planned Release Date: March 2025

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About This Software

JWildfireSwan is the successor to JWildfire, a very sophisticated flame fractal generator whose roots go back some 25 years.

While JWildfire is more like the Swiss army knife of flame fractals, Swan is a much more modern and streamlined application that fully supports GPU rendering.

Swan not only renders much faster, but also produces images with much better quality and much more fractal detail, as the rendering algorithm has been redefined from the ground up to not compromise on quality.

It is powered by the Godot engine and is truly cross-platform. No matter whether you are working under Linux, Windows, ... you will always have the same experience and always have access to GPU rendering.

The application has a lean design. Therefore, it does not support all the functions you may be familiar with from Jwildfire. This is to make the user interface simpler, more responsive and less complex. But you can assume that the essential functions are available. And if you are missing something, you are welcome to submit a feature request.

Key Features:

  • really fast GPU rendering on all platforms (no more differences between CPU and GPU rendering, as there is now only GPU rendering)

  • drastically improved render quality/degree of detail

  • you will notice a much lower system load when rendering (unlike JWildfire, which sometimes feels like it is taking over your system).

  • compatibility/interchangeability with JWildfire (you can load most of your existing flames)

  • around 400 variants are currently supported, with more in the pipeline

  • integrated sophisticated random flame and random gradient generators to play effortlessly with endless flames

  • powerful flame editor that allows you to edit existing flames or create new flames from scratch and see the changes in near real time

  • support for key-framed Animation

  • new variation browser that interactively displays the effect of a variation and helps to understand how it works

  • integrated Flame library with hundreds of curated examples created by the author of the software

System Requirements

Windows
SteamOS + Linux
    Minimum:
    • Requires a 64-bit processor and operating system
    • OS: Windows 10
    • Processor: x86_32 CPU with SSE2 instructions, x86_64 CPU, ARMv8 CPU
    • Memory: 4 GB RAM
    • Graphics: Integrated graphics with full Vulkan 1.0 support
    • Storage: 500 MB available space
    Recommended:
    • Requires a 64-bit processor and operating system
    • OS: Windows 11
    • Processor: x86_64 CPU with SSE4.2 instructions, with 4 physical cores or more, ARMv8 CPU
    • Memory: 8 GB RAM
    • Graphics: Dedicated graphics with full Vulkan 1.2 support
    • Storage: 500 MB available space
    Minimum:
    • OS: Ubuntu 22.04
    • Processor: x86_32 CPU with SSE2 instructions, x86_64 CPU, ARMv8 CPU
    • Memory: 4 GB RAM
    • Graphics: Integrated graphics with full Vulkan 1.0 support
    • Storage: 500 MB available space
    Recommended:
    • OS: Ubuntu 244.04
    • Processor: x86_64 CPU with SSE4.2 instructions, with 4 physical cores or more, ARMv8 CPU
    • Memory: 8 GB RAM
    • Graphics: Dedicated graphics with full Vulkan 1.2 support
    • Storage: 500 MB available space
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