FrameFamily

A modular AI ecosystem focused on frame-based image generation, training, and visualization.

Components

• Training
  FrameForge
  AI training, dataset preparation, and orchestration within the Frame ecosystem.

• Viewing
  FrameView
  Visualization, inspection, and analysis of generated frames and training results.

• Generating
  FrameCreate
  Generative image AI of the Frame ecosystem.
  Work in Progress

FrameCreate

FrameCreate is the generative core of the FrameFamily. It gives you a clean, fast image generator with a calm UI, model control, and a clear history of every output.

Work in Progress

Notice: Right now only SDXL-based models are supported. Embeddings are not wired yet.

FrameCreate is built for creative, synthetic, and stylized content. Use on real individuals without consent is explicitly discouraged.

Support and Questions -> Discord
https://discord.gg/TB5DHMNa5J

Why you might like it

• One place to generate, manage models, and review results.
• A clear, uncluttered workflow that stays consistent with FrameFamily.
• Fast queue handling so the machine stays focused on generation.
• Built to stay fully open and self-hosted.

What you can do

• Generate images with live preview and stop running jobs when needed.
• Manage base models, LoRAs, and VAEs in one place.
• Stack up to three LoRAs and control each strength.
• Browse history with metadata, reuse prompts, and delete what you do not need.
• Use preset styles and wildcard prompts to speed up prompting.
• Set default sampling and live preview settings in System.

Quick Start

./scripts/setup.sh

Open the Web UI at http://localhost:5174. The setup script installs dependencies, prepares the database, runs migrations, and enables systemd services.

What you need: Node.js + npm, Python 3, and Postgres. A GPU is recommended for generation.

First steps

1. Run the setup command above.
2. Open the web UI.
3. Drop your models into the storage/ folders (see below).
4. Use the Model Manager to rescan.
5. Generate your first image.

Storage Layout

FrameCreate stores everything it needs under the storage/ folder. You can drop your models there and FrameCreate will find them.

storage/
models/ # base checkpoints (.safetensors)
loras/ # LoRA adapters (.safetensors)
vaes/ # VAE weights
embeddings/ # text embeddings
outputs/ # generated images
thumbnails/ # UI thumbnails
wildcards/ # prompt wildcard lists (.txt)

Tip: After adding models, open the Model Manager and click Rescan.

Wildcard prompts

Drop a text file into storage/wildcards/. Each line is one option. Use it in your prompt like __colors__.

Example:

• storage/wildcards/colors.txt

  red
  blue
  green
  

• Prompt: a __colors__ car
  Each image in a series uses the next line from the file; when the batch exceeds the list, values cycle from the top. Lines without letters are ignored.

Optional: send wildcard_strategy in the job request (sequential, cycle, random) to control selection.

Optional: advanced setup

If you want to change ports, database settings, or runtime options, edit .env. You can start from .env.example.

License

MIT