Method load_data

nodes.py:223–233

(self, ckpt_paths)

        return sorted(files)

    def load_data(self, ckpt_paths):
        clip_data = []
        for p in ckpt_paths:
            if p.endswith(".gguf"):
                sd = gguf_clip_loader(p)
            else:
                sd = comfy.utils.load_torch_file(p, safe_load=True)
                if "scaled_fp8" in sd: # NOTE: Scaled FP8 would require different custom ops, but only one can be active
                    raise NotImplementedError(f"Mixing scaled FP8 with GGUF is not supported! Use regular CLIP loader or switch model(s)\n({p})")
            clip_data.append(sd)
        return clip_data

    def load_patcher(self, clip_paths, clip_type, clip_data):
        clip = comfy.sd.load_text_encoder_state_dicts(