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- Overview
- Fooocus
- Moving from Midjourney to Fooocus
- Minimal Requirement
- Default Models
- UI Access and Authentication
- List of "Hidden" Tricks
- Customization
- Advanced Features
Non-cherry-picked random batch by just typing two words "forest elf",
without any parameter tweaking, without any strange prompt tags.
See also non-cherry-picked generalization and diversity tests here and here and here and here.
In the entire open source community, only Fooocus can achieve this level of non-cherry-picked quality.
Fooocus is an image generating software (based on Gradio).
Fooocus is a rethinking of Stable Diffusion and Midjourney’s designs:
•Learned from Stable Diffusion, the software is offline, open source, and free.
•Learned from Midjourney, the manual tweaking is not needed, and users only need to focus on the prompts and images.
Fooocus has included and automated lots of inner optimizations and quality improvements. Users can forget all those difficult technical parameters, and just enjoy the interaction between human and computer to "explore new mediums of thought and expanding the imaginative powers of the human species" [1].
Fooocus has simplified the installation. Between pressing "download" and generating the first image, the number of needed mouse clicks is strictly limited to less than 3. Minimal GPU memory requirement is 4GB (Nvidia).
Using Fooocus is as easy as (probably easier than) Midjourney – but this does not mean we lack functionality. Below are the details.
We also have a few things borrowed from the best parts of LeonardoAI:
Below is the minimal requirement for running Fooocus locally. If your device capability is lower than this spec, you may not be able to use Fooocus locally. (Please let us know, in any case, if your device capability is lower but Fooocus still works.)
* AMD GPU ROCm (on hold): The AMD is still working on supporting ROCm on Windows.
* Nvidia GTX 1XXX 6GB uncertain: Some people report 6GB success on GTX 10XX, but some other people report failure cases.
Note that Fooocus is only for extremely high quality image generating. We will not support smaller models to reduce the requirement and sacrifice result quality.
Given different goals, the default models and configs of Fooocus are different:
Note that the download is automatic - you do not need to do anything if the internet connection is okay. However, you can download them manually if you (or move them from somewhere else) have your own preparation.
In addition to running on localhost, Fooocus can also expose its UI in two ways:
•Local UI listener: use --listen (specify port e.g. with --port 8888).
•API access: use --share (registers an endpoint at .gradio.live).
In both ways the access is unauthenticated by default. You can add basic authentication by creating a file called auth.json in the main directory, which contains a list of JSON objects with the keys user and pass (see example in auth-example.json).
The below things are already inside the software, and users do not need to do anything about these.
1.GPT2-based prompt expansion as a dynamic style "Fooocus V2". (similar to Midjourney's hidden pre-processsing and "raw" mode, or the LeonardoAI's Prompt Magic).
2.Native refiner swap inside one single k-sampler. The advantage is that the refiner model can now reuse the base model's momentum (or ODE's history parameters) collected from k-sampling to achieve more coherent sampling. In Automatic1111's high-res fix and ComfyUI's node system, the base model and refiner use two independent k-samplers, which means the momentum is largely wasted, and the sampling continuity is broken. Fooocus uses its own advanced k-diffusion sampling that ensures seamless, native, and continuous swap in a refiner setup. (Update Aug 13: Actually, I discussed this with Automatic1111 several days ago, and it seems that the “native refiner swap inside one single k-sampler” is merged into the dev branch of webui. Great!)
3.Negative ADM guidance. Because the highest resolution level of XL Base does not have cross attentions, the positive and negative signals for XL's highest resolution level cannot receive enough contrasts during the CFG sampling, causing the results to look a bit plastic or overly smooth in certain cases. Fortunately, since the XL's highest resolution level is still conditioned on image aspect ratios (ADM), we can modify the adm on the positive/negative side to compensate for the lack of CFG contrast in the highest resolution level. (Update Aug 16, the IOS App Draw Things will support Negative ADM Guidance. Great!)
4.We implemented a carefully tuned variation of Section 5.1 of "Improving Sample Quality of Diffusion Models Using Self-Attention Guidance". The weight is set to very low, but this is Fooocus's final guarantee to make sure that the XL will never yield an overly smooth or plastic appearance (examples here). This can almost eliminate all cases for which XL still occasionally produces overly smooth results, even with negative ADM guidance. (Update 2023 Aug 18, the Gaussian kernel of SAG is changed to an anisotropic kernel for better structure preservation and fewer artifacts.)
5.We modified the style templates a bit and added the "cinematic-default".
After the first time you run Fooocus, a config file will be generated at Fooocus\config.txt. This file can be edited to change the model path or default parameters.
For example, an edited Fooocus\config.txt (this file will be generated after the first launch) may look like this:
Many other keys, formats, and examples are in Fooocus\config_modification_tutorial.txt (this file will be generated after the first launch).
Consider twice before you really change the config. If you find yourself breaking things, just delete Fooocus\config.txt. Fooocus will go back to default.
A safer way is just to try "run_anime.bat" or "run_realistic.bat" - they should already be good enough for different tasks.
Note that user_path_config.txt is deprecated and will be removed soon. (Edit: it is already removed.)
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