What do you want to do?
3 use cases
-
Install a Codex pet from two or more photos
Turn your own photos into an installed Codex companion pet with one create command.
- Pocket Men with You
- Codex
- Content
- Intermediate
View prompt
Using the repo six-nut/PocketMen-with-you, run `pocketmen doctor`, then create a companion with `pocketmen create` from the two reference images at <photo-1> and <photo-2>, output to ./pocketmen-output with --install. Expected output: pet.json and spritesheet.webp in the output folder and an installed Codex pet. Verify the atlas is 1536x1872 with 8 columns and 9 rows.
-
Build a high-fidelity pet with the Qwen identity backend
Prepare the heavier local Qwen editor and create a max-quality pet that keeps the subject's look.
- Pocket Men with You
- Content
- Advanced
View prompt
In the repo six-nut/PocketMen-with-you, run `pocketmen create` with --engine neural --backend qwen-image-edit-2511 --quality max using the references at <photo-1> and <photo-2>. Expected output: a pet.json and spritesheet.webp built from the Qwen backend. Verify that the run did not use the OpenAI API and that the atlas is 8 by 9 cells.
-
Create a Codex pet with no OpenAI API key
Generate a companion through local open-weight editing and avoid hosted image APIs entirely.
- Pocket Men with You
- Codex
- Content
- Intermediate
View prompt
Using the repo six-nut/PocketMen-with-you, run `pocketmen create` with --engine neural --backend flux2-klein-4b on the references at <photo-1> and <photo-2>. Expected output: pet.json and spritesheet.webp, with no OPENAI_API_KEY set. Verify that the final package contains only pet.json and spritesheet.webp.
How to use Pocket Men with You
- Check you have what it needs: Two or more reference photos of the subject (the README says raw personal references stay local by default); A Windows machine for the .bat installers, which the README describes; Python, the repo language, for the pocketmen CLI.
- Open six-nut/PocketMen-with-you on GitHub and read the README and license.
- Run
INSTALL_SKILL.batto install the skill and create the isolated runtime. - Run
pocketmen doctorto check the hardware. - Run
pocketmen create --reference photo-1.jpg --reference photo-2.jpg --name "Mochi" --subject-type animal --style soft-real --engine auto --quality balanced --output ./pocketmen-output --install, replacing the file names, name, and subject type with your own. (inferred, check the README)
These steps come from our top use case, Install a Codex pet from two or more photos, which also has a copy-paste agent prompt.
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About this repo
- Who it is forWritten for Codex users and developers who want a personal animated pet built from their own reference photos, without an OpenAI API key.
- Why it is hot
- LanguagePython
- Sourcegithub.com/six-nut/PocketMen-with-you · Back to Hot repos
Requirements
- Two or more reference photos of the subject (the README says raw personal references stay local by default)
- A Windows machine for the .bat installers, which the README describes
- Python, the repo language, for the pocketmen CLI
- An NVIDIA GPU with enough VRAM for the neural engine; otherwise PocketMen falls back to the deterministic v0.2 engine
- Codex, if you want to use the $pocketmen-with-you skill
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Questions about Pocket Men with You
What is Pocket Men with You?
PocketMen with You is a local tool that turns two or more photos into an animated Codex companion pet, using open-weight image editing when the hardware allows it. It is an open-source project on GitHub: https://github.com/six-nut/PocketMen-with-you.
Who is Pocket Men with You for?
Written for Codex users and developers who want a personal animated pet built from their own reference photos, without an OpenAI API key.
What can I do with Pocket Men with You?
3 use cases so far, for example: Install a Codex pet from two or more photos; Build a high-fidelity pet with the Qwen identity backend; Create a Codex pet with no OpenAI API key. Each has steps and a copy-paste agent prompt.
What do I need to run Pocket Men with You?
Two or more reference photos of the subject (the README says raw personal references stay local by default); A Windows machine for the .bat installers, which the README describes; Python, the repo language, for the pocketmen CLI; An NVIDIA GPU with enough VRAM for the neural engine; otherwise PocketMen falls back to the deterministic v0.2 engine.
What are alternatives to Pocket Men with You?
Other hot AI repos in Content: Voice Studio, Anatomy, Comfy UI, Hyperframes, Earshot.
Is Pocket Men with You safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.