Ported from v4, minus two mechanisms that are no longer needed. The LoRA loader takes one LoRA and chains, so the FlexibleOptionalInputType dict subclass that lied to ComfyUI's validator has nothing left to do. The CLIP loader uses numbered slots like core's DualCLIPLoader instead of a JSON array in a string widget. Autogrow looked like the right answer for the encoder list and is not: it sets force_input on any widget input, so a list of combos renders as sockets and the file picker stops being a picker. Every core use of it is a connection type. GGUF and SLA are deliberately not here. Both are capabilities rather than loader options, and both belong in modules of their own. The tests follow what the loaders PRODUCE rather than stopping at the call: the attention override is carried into comfy's real dispatch and checked against every backend this machine registers, because an override that only fails at the first attention call fails at sampling, not at load. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
11 lines
234 B
Python
11 lines
234 B
Python
"""Diffusion model loader. A node-only module."""
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from .nodes import FunPackDiffusionModelLoader
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ID = "loader_diffusion_model"
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TITLE = "Diffusion model loader"
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STAGE = "load"
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STATUS = "proven"
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NODES = [FunPackDiffusionModelLoader]
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