Alexander Eichhorn b08accd4be feat(starter-models): add Z-Image Turbo starter models ... 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.		2025-12-22 15:04:27 +01:00
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app	fix(vae): Fix dtype mismatch in FP32 VAE decode mode	2025-12-16 15:58:48 +01:00
assets
backend	feat(starter-models): add Z-Image Turbo starter models	2025-12-22 15:04:27 +01:00
configs
frontend	Merge branch 'main' into feat/z-image-turbo-support	2025-12-21 21:58:22 +05:30
invocation_api	feat(mm): more exports in invocation api	2025-10-16 08:08:44 +11:00
version	chore: bump version to v6.9.0	2025-10-17 12:13:01 +11:00
__init__.py