model_index.json uses the [file, class] form, pipeline.py imports transformer.py relatively so the
dynamic-module loader fetches it too, and the transformer class is published on the diffusers module
(the stock component loader has no auto_map/trust_remote_code path). Tokenizer resolved from the
processor before register_modules, VAE pinned to fp32 on every entry point.
Zen Image Edit: Qwen-Image-2.1 on Qwen3.5-0.8B with a text-fusion adapter inside the DiT
Text encoder replaced (Qwen3-VL-8B -> Qwen3.5-0.8B + 158M adapter), adapter embedded in the
transformer as text_fusion before txt_in. Weights fp16 (VAE fp32, 13 files via LFS), 8 example
images generated by this pipeline, NOTICE/LICENSE included per the Qwen Research License.
