AI Image Studio

A fast, multi-file Streamlit toolkit for generating AI images (including a dedicated "This 3D Model Does Not Exist" mode). The project uses the Latent Consistency Model (LCM) for very fast generation (4–8 steps recommended).

Quick links

• Main enhanced app: app_enhanced.py
• Colab-optimized app: app_colab.py
• Tiny demo app: app_demo.py
• 3D model standalone: this3dmodeldoesnotexist.py
• Random art: thisartdoesnotexist.py
• Example / helper: sample.py
• One-click Colab notebook: RUN_IN_COLAB.ipynb
• Run demo on Windows: run_demo.bat
• Environment: .env (gitignored via .gitignore)
• Requirements: requirements.txt
• Feature guide for 3D models: 3D_MODEL_FEATURE_GUIDE.md
• Changelog / speed notes: UPDATES_SUMMARY.md
• Start & deployment guide: START_HERE.md

Getting started (Colab)

1. Upload RUN_IN_COLAB.ipynb to Colab.
2. When prompted, upload either app_colab.py (recommended) or app_enhanced.py.
3. Enable GPU in Runtime → Change runtime type → GPU.
4. Run the notebook; the public URL will be printed.

Running locally

1. Create a virtualenv, install dependencies:

pip install -r requirements.txt

2. Add your HuggingFace token to .env as HF_TOKEN=your_token (example in .env.example).
3. Run:

streamlit run app_enhanced.py

For a tiny demo use: streamlit run app_demo.py or run run_demo.bat on Windows.

Notes & tips

• LCM is the fast default. Optimal settings: 4–8 steps, guidance ~1.0–1.5, sizes 256–512 for best speed/quality balance. See UPDATES_SUMMARY.md.
• 3D Model mode generates 4 angles with the same seed for consistency. See this3dmodeldoesnotexist.generate_random_3d_prompt and 3D_MODEL_FEATURE_GUIDE.md.
• Model-loading helper functions: see sample.load_models and app_enhanced.load_models. For CPU-specific loader see thisartdoesnotexist.load_model.

Troubleshooting

• "ScriptRunContext" warnings: harmless (use app_colab.py to avoid them). See START_HERE.md.
• Out-of-memory: reduce image size, enable GPU, or use smaller batch sizes.

License

Include your preferred license or "All rights reserved" as needed.