A 17B MoE DiT (16 double + 32 single layers, 4 routed experts) with four text
encoders, on HiDreamImagePipeline (diffusers 0.39). One family covers the open
Full / Dev / Fast repos (same arch); per-variant generation defaults follow the
upstream inference recipes (Full 50 steps at guidance 5, the distilled Dev 28
and Fast 16 guidance-free).
The repos name a Llama-3.1-8B text_encoder_4 in their model_index but do not
ship its weights; the official example passes the gated meta-llama repo in by
hand. The loader instead assembles the component from the open unsloth mirror
(byte-identical weights, already inside the non-GGUF trust gate), injected at
the three pipeline from_pretrained sites, with output_hidden_states matching
the official example. Memory planning counts the assembled TE4: 34.2 GB DiT +
28.8 GB encoders, ~63 GB bf16-resident.
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