feat(starter-models): add Z-Image Turbo starter models by Pfannkuchensack · Pull Request #8689 · invoke-ai/InvokeAI
Add Z-Image Turbo and related models to the starter models list: - Z-Image Turbo (full precision, ~13GB) - Z-Image Turbo quantized (GGUF Q4_K, ~4GB) - Z-Image Qwen3 Text Encoder (full precision, ~8GB) - Z-Image Qwen3 Text Encoder quantized (GGUF Q6_K, ~3.3GB) - Z-Image ControlNet Union (Canny, HED, Depth, Pose, MLSD, Inpainting) The quantized Turbo model includes the quantized Qwen3 encoder as a dependency for automatic installation.
Add higher quality Q8_0 quantization option for Z-Image Turbo (~6.6GB) to complement existing Q4_K variant, providing better quality for users with more VRAM. Add dedicated Z-Image ControlNet Tile model (~6.7GB) for upscaling and detail enhancement workflows.
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