croquelois/forgemodelpatch

Analysis updated 2026-05-18

★ 1PythonAudience · generalComplexity · 4/5Setup · hard

Mindmap

mindmap
  root((forgeModelPatch))
    What it does
      Adds ZImage model
      Adds Anima model
      Patches model loader
    Installation
      Apply forge.patch
      Copy Python files
      Python 3.10 required
    Models
      ZImage Turbo
      ZImage Base
      Anima
    Audience
      Forge users
      Local AI artists

mindmap root((forgeModelPatch)) What it does Adds ZImage model Adds Anima model Patches model loader Installation Apply forge.patch Copy Python files Python 3.10 required Models ZImage Turbo ZImage Base Anima Audience Forge users Local AI artists

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What do people build with it?

USE CASE 1

Generate AI images using the ZImage or Anima models inside a local Forge installation.

USE CASE 2

Test new image-generation architectures without switching away from the Forge interface.

USE CASE 3

Apply the included bug fixes to resolve Forge compatibility issues with 3D convolution layers.

What is it built with?

PythonStable Diffusion ForgePyTorch

How does it compare?

	croquelois/forgemodelpatch	a-bissell/unleash-lite	abhiinnovates/whatsapp-hr-assistant
Stars	1	1	1
Language	Python	Python	Python
Setup difficulty	hard	hard	hard
Complexity	4/5	4/5	3/5
Audience	general	researcher	developer

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1h+

Requires Python 3.10 exactly, manual CLIP installer fix, and multiple troubleshooting steps on an unmaintained Forge codebase.

No license information is stated in the README.

In plain English

This repository provides a patch for Stable Diffusion Forge, an image-generation program that runs AI art models on a local computer. The patch adds support for two new models that Forge does not include by default: ZImage and Anima. Both are image-generation models built on different neural network designs than the ones Forge originally shipped with. The installation process involves cloning the Forge codebase, applying a single patch file called forge.patch, and then manually copying a set of Python files into specific directories inside the Forge folder. The patch modifies Forge's model loader and sampling code so that the new models can be recognized and used. A few bug fixes are also included, one addressing a problem with a 3D convolution layer used by Anima's image encoder. Setup is not straightforward. Forge itself is no longer actively maintained, which means its installer has accumulated small breakages over time. The README lists several known problems: only Python 3.10 works (newer versions cause issues), the CLIP library install is broken and requires manually commenting out lines in a launch script, and a NumPy compatibility error sometimes appears but goes away if the installer is run a second time. Once working, the patch makes two new model families available inside the Forge interface. ZImage comes in two variants, a faster Turbo version and a standard Base version, both using a Qwen text encoder. Anima uses a different architecture with a text encoder and a WEN image encoder. The README includes screenshots showing both models generating images inside the Forge web interface. This project is aimed at people who already use Forge for local AI image generation and want to try these newer model architectures without switching to a different tool. It requires comfort with the command line, familiarity with git, and patience for manual file copying and troubleshooting a fragile install environment.

Copy-paste prompts

Prompt 1

I've applied forgeModelPatch to Stable Diffusion Forge. Walk me through verifying that ZImage Turbo is correctly loaded and ready to generate images.

Prompt 2

I'm getting a NumPy binary incompatibility error after installing Forge with forgeModelPatch applied. How do I fix it?

Prompt 3

Explain the difference between the ZImage and Anima model architectures added by forgeModelPatch, based on their encoder designs.

Prompt 4

I need to manually copy the backend files from forgeModelPatch into my Forge directory. List every file and its destination path.

Frequently asked questions

What is forgemodelpatch?

A patch that adds two new AI image-generation models, ZImage and Anima, to Stable Diffusion Forge for local use.

What language is forgemodelpatch written in?

Mainly Python. The stack also includes Python, Stable Diffusion Forge, PyTorch.

What license does forgemodelpatch use?

No license information is stated in the README.

How hard is forgemodelpatch to set up?

Setup difficulty is rated hard, with roughly 1h+ to a first successful run.

Who is forgemodelpatch for?

Mainly general.

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