Bonsai-27B-GGUF
lmstudio-community · 工具包
面向 LM Studio 的 27B Bonsai 模型 GGUF 转换版,含 3.80 GB 的 Q1_0 语言文件和 0.93 GB 的 BF16 视觉投影器。已测试文本、视觉和并行工具调用。

lllyasviel 做的开源图像生成软件,离线运行在你自己的电脑上。你写一句提示词,按下 Generate,基本不用调参数。它基于 Stable Diffusion XL,有 Windows、Linux、Mac、Colab 和 Docker 几条安装路线。项目现在只修 bug。
Fooocus 本地 AI 绘图工具 是一款 GitHub 上的开源项目,属于营销类,由 Mindket 上架。可免费获取。当前为第 2 版,最近更新于 。按它的 README 从 GitHub 安装。Mindket 的设置说明可在你的 Mindket 账户获取,以 zip 压缩包下载。
git clone https://github.com/lllyasviel/Fooocus.git cd Fooocus python3 -m venv fooocus_env
Fooocus is image generating software you run on your own computer. The README says it is offline, open source and free, and that you only focus on the prompt and the pictures, as with online generators such as Midjourney. Manual tweaking is not needed. It is built on Stable Diffusion XL and Gradio, so you use it in your browser. An offline GPT-2 based prompt engine expands a short prompt such as “house in garden”, so the result still looks good. From the same page you can upscale a picture, make variations, inpaint or outpaint, use an image as a prompt, or ask for a description of an image. The README says the project is in limited long-term support: bug fixes only, and no current plan to move to newer model architectures.
People who want pictures from text on their own computer, offline and free. It suits you if you know Midjourney or Leonardo, because the README maps their features to Fooocus’s. It also suits anyone with an Nvidia card who wants a simple browser interface over Stable Diffusion XL.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Digital art | People who want pictures from text | Type a prompt, press Generate and pick a style under Advanced | Someone types “house in garden” and lets the prompt engine fill in the detail. |
| Midjourney and Leonardo users | People moving to a local tool | Look up each feature in the README’s two comparison lists | A Midjourney user opens Input Image, then Upscale or Variation, and picks Vary (Subtle). |
| Photo editing | People who fix or extend a picture | Inpaint to change part of an image, Outpaint to extend it | Someone opens Input Image, chooses Inpaint or Outpaint, then picks Up, Down, Left or Right. |
| Local network | People who open the interface to other devices | Launch with --listen, optionally a port, and add a login file | A user runs python entry_with_update.py --listen, sets a port with --port 8888 as the README suggests, and adds an auth.json file with a user and pass. |
Skip it if you need newer models such as Flux. The README sends those users to WebUI Forge and ComfyUI. Skip it too if you have no GPU. The README’s table puts a CPU-only run at about 17 times slower than an Nvidia RTX 3XXX and asks for 32 GB of memory.
The README, and the Docker page it links, have a route for each of these.
run.batrun.bat, in betaGet it saves a zip of Minda’s setup notes in your downloads folder, with a page for each platform above, one for models and config, and one for troubleshooting. On Windows with an Nvidia card, the README says to download the archive, uncompress it and run run.bat. On Windows with an AMD card you edit run.bat in the same archive. On Linux and Mac you clone the repository and install its Python packages. Colab runs the official notebook, and Docker or Podman run the ghcr.io/lllyasviel/fooocus image.
| Need | Detail |
|---|---|
| A GPU | An Nvidia RTX card with 4 GB of GPU memory is the README’s minimum. A GTX 1XXX or 9XX card needs 8 GB, and older GTX cards are not supported. An AMD card needs 8 GB, and a Mac uses shared memory |
| System memory | 8 GB, plus system swap. On Windows the swap is usually automatic. If you still see “RuntimeError: CPUAllocator”, keep 40 GB free on each drive |
| Python | Only on the Linux and Mac routes: Python 3.10 for the venv and system routes, and conda for the Anaconda and Mac routes (Mac also needs PyTorch nightly) |
| Disk space | Room for the models. The first launch downloads them, and your first inpaint adds one more file of 1.28 GB |
run.bat. On Linux and Mac, install the packages, in a conda or venv environment unless you use the system Python.git clone https://github.com/lllyasviel/Fooocus.git cd Fooocus python3 -m venv fooocus_env source fooocus_env/bin/activate pip install -r requirements_versions.txt
That is the README’s venv route for Linux. It launches with these two lines.
source fooocus_env/bin/activate python entry_with_update.py
Type a prompt and press Generate. Most other controls sit in two places. Input Image holds what you do with a picture: upscale it, vary it, inpaint or outpaint it, use it as an image prompt or ask for a description. Advanced holds the style, quality, image number, negative prompt, aspect ratios and guidance. The README maps Leonardo’s Prompt Magic to the Fooocus V2 style under Advanced.
| Midjourney | Fooocus |
|---|---|
| V1 to V4 | Input Image, Upscale or Variation, then Vary (Subtle) or Vary (Strong) |
| U1 to U4 | Input Image, Upscale or Variation, then Upscale (1.5x) or Upscale (2x) |
| Inpaint and Pan | Input Image, Inpaint or Outpaint, then Inpaint, Up, Down, Left or Right |
| Image Prompt | Input Image, Image Prompt |
| --style | Advanced, Style |
| --quality | Advanced, Quality |
| --repeat | Advanced, Image Number |
| --no | Advanced, Negative Prompt |
| --ar | Advanced, Aspect Ratios |
| Describe | Input Image, Describe |
You want one flower in three colors. Type the line below in the prompt box and raise the image number to 3. Fooocus makes one image for red, one for green and one for blue.
[[red, green, blue]] flower
A wildcard works the other way round. The prompt __color__ flower picks one random color from the file wildcards/color.txt, and the pick follows the seed. A LoRA goes in the prompt too: flower <lora:sunflowers:1.2> applies it when its file is in the models/loras folder.
新手:Fooocus is a program, not a website. A model is the file that holds what the drawing system learned, and your graphics card does the work. Fooocus fetches the models it needs when you first start it. The README warns that fake Fooocus sites exist, so get it from the repository. On Windows, run_realistic.bat and run_anime.bat load different models than run.bat. Start with run.bat, write a plain sentence and press Generate. If the console shows “RuntimeError: CPUAllocator”, a crash such as Segmentation Fault or Killed, or closes in a flash, the troubleshooting page blames too little system swap. A “CUDA Out Of Memory” on an Nvidia card with 8 GB, or 4 GB with Float16 support, is a bug to report. On 6 GB it says very likely a bug.
专家:The README lists the sampling work as tricks, and says they are based on SDXL and are not very up to date with the latest models. They include a refiner swap inside a single k-sampler, negative ADM guidance, a tuned form of self-attention guidance, and CFG scale with TSNR correction above 10. Prompt weights use A1111’s reweighting, which the README says suits prompts copied from Civitai. After the first launch, config.txt sets the defaults, and the usage line lists many flags, from --always-high-vram to --preset and --language. The lines below are an excerpt of the README’s example of an edited config.txt.
{
"default_model": "realisticStockPhoto_v10.safetensors",
"default_cfg_scale": 3.0,
"default_sampler": "dpmpp_2m",
"default_scheduler": "karras"
}Fooocus runs on your machine, and a few paths reach out.
--listen and --share expose the interface, and both are unauthenticated unless you add an auth.json file with a user and a pass for each login--disable-analytics, --disable-image-log and --disable-metadata, and does not describe them这个工具包里只有安装说明,由 Mindket 编写。Fooocus 本身要从它作者的仓库获取,地址是 https://github.com/lllyasviel/Fooocus
这些说明不是 lllyasviel 写的,也没有得到 lllyasviel 的认可。GitHub 的项目描述是“Focus on prompting and generating”。README 把 Fooocus 称为“an image generating software (based on Gradio)”,并说它“offline, open source, and free”,意思是:一款基于 Gradio 的图像生成软件,离线、开源、免费。
许可证:GPL-3.0。LICENSE 文件(https://github.com/lllyasviel/Fooocus/blob/main/LICENSE)是标准的 GNU 通用公共许可证第 3 版文本,日期为 2007 年 6 月 29 日,文末附录保留着占位行 Copyright (C) <year> <name of author>,所以没有写明版权持有人。这个工具包不含 Fooocus 的任何代码。
.7z 压缩包,里面有程序、它自带的 Python,以及启动文件 run.bat、run_anime.bat 和 run_realistic.bat。来源见 https://github.com/lllyasviel/Fooocus/blob/main/readme.mdgit clone 得到的仓库代码,再加上 requirements_versions.txt 里的 Python 包。走 Anaconda 和 Mac 路线时,先用 environment.yaml 建好 conda 环境,再把这些包装进去。ghcr.io/lllyasviel/fooocus,或者你用仓库自己构建的镜像。README 没有单独给出更新步骤。它的启动命令用的是 entry_with_update.py,README 没有说这个文件更新什么。想要旧版本的话,README 指向 https://github.com/lllyasviel/Fooocus/discussions/1405,并说更新日志是仓库里的 update_log.md。
README 没有给出卸载步骤。在 Windows 路线上,程序、它的 python_embeded 文件夹和 Fooocus\models 文件夹都在你解压出的那个文件夹里,删掉它就移除了这些。在 Linux 和 Mac 上,删掉你克隆的文件夹和你建的 conda 或 venv 环境。走系统 Python 路线的话,requirements_versions.txt 里的包会留在你的系统 Python 里,README 没有给出移除它们的步骤。你在 config.txt 里把模型或输出路径指到别处的话,那些东西会一直留着,直到你自己删除。
README.md 5 KB setup/colab.md 2 KB setup/docker.md 6 KB setup/linux.md 3 KB setup/mac.md 2 KB setup/models-and-config.md 9 KB setup/troubleshooting.md 4 KB setup/windows.md 3 KB
Updated by Mindket to the current version of this kit.
Hacker News、Bluesky、X、Reddit、Facebook 和 YouTube 上提到这个项目的帖子和评论,来自每周一次的搜索和 Trendshift。它们不是 Mindket 写的,也未经核实,点开即可在原帖处阅读。
lmstudio-community · 工具包
面向 LM Studio 的 27B Bonsai 模型 GGUF 转换版,含 3.80 GB 的 Q1_0 语言文件和 0.93 GB 的 BF16 视觉投影器。已测试文本、视觉和并行工具调用。
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给模型最多五张参考图,让生成视频中的人物、服装、物体和背景保持一致。这是用于 ComfyUI 中 LTX-2.5 的 LoRA,还可以为两位说话者添加音频参考。