Specs for chrono, cogview, flux2_klein, glm, hunyuandit, hyimage, joy,
kandinsky, longcat, nucleus, ovis, pixart and prx lived module-level in
model_<arch>.py. Move each into pipelines/<arch>/__init__.py to match
the layout used by anima, bria, ernie, f_lite, lens, qwen, step1x and
vibe.
Each model_<arch>.py now imports its spec lazily inside the load
function, so the package only gets pulled in when that arch is actually
loaded (kandinsky 2.x never goes through native dispatch and stays
untouched).
Also drop the "without this spec..." crash paragraph from the new
package docstrings plus ernie/__init__.py and bria/__init__.py.
CogView3+, CogView4, GLM-Image, HunyuanDiT, Joy, Kandinsky3 UNet,
PixArt, PRX. These classes lack from_single_file entirely; the UNET
dropdown fell through to cls.from_pretrained(local_file), which
decodes the .safetensors header as UTF-8 and crashes "is not a valid
JSON file".
TransformerSpec(cls=...) module-level in each model_<arch>.py.
Kandinsky3 also needs subfolder='unet' since it loads a UNet not a
transformer.
- Add GLM-Image (zai-org/GLM-Image) model detection and loading
- Custom pipeline loader with proper component handling:
- ByT5 text encoder (cannot use shared T5 due to different hidden size)
- Vision-language encoder (9B AR model)
- DiT transformer (7B)
- Fix EOS token early stopping in AR generation
- Add AR token generation progress tracking with terminal progress bar
- Fix uninitialized audio variable in processing
- Add TAESD support for GLM-Image (using f1 variant)
Vladimir Mandic
CalamitousFelicitousness