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SimpleSDXL

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SimpleSDXL_en3

Enhanced features base on Fooocus, can be seamless upgrading
在Fooocus基础上增强功能，可无缝迁移升级

  • Chinese English mixed prompts: Offline model without API dependencies and limitations.
    中英文混编提示词: 离线模型，无API依赖和限制。
  • Finished image sets browsing: Fooocus only can browse the current generated image set.
    已生成图片集浏览: 原生版本仅限浏览当次生成的图片集。
  • View parameters and extract regeneration: Can view the generation parameters of historical images, and can also extract parameters to backfill for secondary generation.
    查看生成参数和提取重生: 可即时查看历史图片的生成参数，也可提取参数回填界面，二次生成。
  • Switch preset and theme online: Fooocus requires modification of startup parameters to restart.
    在线切换预置包和背景色: 原生版本需要修改启动参数重启。

Install/安装方法

Synchronize all directories and files of this project to the SimpleSDXL/models/ directory.

在SimpleSDXL目录下同步本项目所有目录和文件到models目录下

# 1，Download the application codes./下载应用代码库
git clone https://github.com/metercai/SimpleSDXL

# 2，Synchronize model files, need git-lfs module./安装模型文件，需要提前安装lfs模块
git clone https://huggingface.co/metercai/SimpleSDXL SimpleSDXL/models

For the usage of SimpleSDXL, refer to : https://github.com/metercai/SimpleSDXL

SimpleSDXL的具体使用方法，参见：https://github.com/metercai/SimpleSDXL

Model List/模型清单

This model repository includes various models required for SDXL plotting, including:

本模型库包含了SDXL出图中需要的各种模型，具体包括：

Base基础模型：

  • sd_xl_base_1.0_0.9vae.safetensors
  • bluePencilXL_v050.safetensors
  • juggernautXL_version6Rundiffusion.safetensors
  • realisticStockPhoto_v10.safetensors

Refiner精炼模型：

  • sd_xl_refiner_1.0_0.9vae.safetensors
  • DreamShaper_8_pruned.safetensors

LoRa局部模型：

  • sd_xl_offset_example-lora_1.0.safetensors
  • SDXL_FILM_PHOTOGRAPHY_STYLE_BetaV0.4.safetensors
  • sdxl_lcm_lora.safetensors

Embeddings模型：

  • unaestheticXLv31.safetensors

Inpaint修复模型：

  • fooocus_inpaint_head.pth
  • inpaint_v26.fooocus.patch

Controlnet模型：

  • control-lora-canny-rank128.safetensors
  • fooocus_xl_cpds_128.safetensors
  • fooocus_ip_negative.safetensors
  • ip-adapter-plus_sdxl_vit-h.bin
  • ip-adapter-plus-face_sdxl_vit-h.bin
  • detection_Resnet50_Final.pth
  • parsing_parsenet.pth

Clip_vision模型：

  • clip_vision_vit_h.safetensors

Upscale模型：

  • fooocus_upscaler_s409985e5.bin

Prompt_expansion模型：

  • fooocus_expansion

Translator翻译模型：

  • nllb-200-distilled-600M

A total of 43G files, managed using git-lfs, including hidden directories, require 86G of local hard drive space.

总计43G文件，用git-lfs进行管理包含隐含目录，需占用本地86G硬盘空间。

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