f78ad94857
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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| .. | ||
| backend | ||
| frontend | ||
| src-tauri | ||
| __init__.py | ||
| install_llama_prebuilt.py | ||
| install_node_prebuilt.py | ||
| install_python_stack.py | ||
| install_sd_cpp_prebuilt.py | ||
| LICENSE.AGPL-3.0 | ||
| node_prebuilt_pins.json | ||
| package-lock.json | ||
| package.json | ||
| setup.bat | ||
| setup.ps1 | ||
| setup.sh | ||
| Unsloth_Studio_Colab.ipynb | ||