MiniMax H3 mmproj support for Qwen3 VL 32B GGUFs - #473
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- fix tokenizer model_type assignment (was comparison) - fix cast_bias_weight call signature in embedding forward
- add resolve_full_path helper to centralize path lookup - add resolve_clip_path with smart fallback logic - fix mutable default argument in update_folder_names_and_paths - add FileNotFoundError with descriptive messages - apply pep8 formatting for consistency
Add _dropdown() and _ensure_dropdown() helper functions to provide consistent dropdown configuration format expected by ComfyUI frontend in newer builds. Update all GGUF loader classes (UnetLoaderGGUF, UnetLoaderGGUFAdvanced, CLIPLoaderGGUF, DualCLIPLoaderGGUF, TripleCLIPLoaderGGUF, QuadrupleCLIPLoaderGGUF) to use the new helpers, ensuring proper frontend dropdown formatting with default value support.
Vibe code. To be reviewed.
If in dynamic mode, load GGUF as a QT.
Refactor this to support the new reconstructability protocol in the comfy core. This is needed for DynamicVRAM (to support legacy demotion for fallbacks). Add the logic for dynamic_vram construction. This is also needed for worksplit multi-gpu branch where the model is deep-cloned via reconstruction to put the model on two parallel GPUs.
Refactor this to support the new reconstructability protocol in the comfy core. This is needed for DynamicVRAM (to support legacy demotion for fallbacks). Add the logic for dynamic_vram construction. This is also needed for worksplit multi-gpu branch where the model is deep-cloned via reconstruction to put the model on two parallel GPUs.
Factor this out to a helper and implement the new core reconstruction protocol. Consider the mmap_released flag 1:1 with the underlying model such that it moves with the base model in model_override.
…XXS, IQ3_S Implements native PyTorch dequantization functions for lower IQ quant types, replacing the slow numpy fallback path for models quantized with these formats (e.g. Unsloth UD quants used as text encoders). All six new functions are verified against gguf.quants.dequantize() reference.
Co-authored-by: Cursor <cursoragent@cursor.com>
Pr/upstream cherrypicks fixes
feat: add torch dequantization for IQ1_S, IQ1_M, IQ2_XXS, IQ2_S, IQ3_…
Add Ideogram 4 architecture support for GGUF loading
Handle WeightAdapters in ops.move_patch_to_device
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