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Implement Minimax Music 3 + Core Support for Cuda Graphs (#15570)

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rattus
2026-08-14 02:10:08 +10:00
committed by GitHub
parent 12666983cb
commit efd4e951a0
19 changed files with 1333 additions and 50 deletions
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6
nodes.py
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@@ -290,6 +290,9 @@ class ConditioningZeroOut:
conditioning_lyrics = d.get("conditioning_lyrics", None)
if conditioning_lyrics is not None:
d["conditioning_lyrics"] = torch.zeros_like(conditioning_lyrics)
conditioning_scale = d.get("conditioning_scale", None)
if conditioning_scale is not None:
d["conditioning_scale"] = torch.zeros_like(conditioning_scale)
n = [torch.zeros_like(t[0]), d]
c.append(n)
return (c, )
@@ -1015,7 +1018,7 @@ class CLIPLoader:
CATEGORY = "model/loaders"
DESCRIPTION = "Recipes:\nsd: clip-l\nstable cascade: clip-g\nsd3: t5 xxl / clip-g / clip-l\nstable audio: t5 base\nmochi: t5 xxl\ncogvideox: t5 xxl (226-token padding)\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl\nhidream: llama-3.1 (Recommend) or t5\nomnigen2: qwen vl 2.5 3B\njoyimage: qwen3-vl 8B\nlens: gpt-oss-20b\npixeldit: gemma 2 2B elm"
DESCRIPTION = "Recipes:\nsd: clip-l\nstable cascade: clip-g\nsd3: t5 xxl / clip-g / clip-l\nstable audio: t5 base\nmochi: t5 xxl\ncogvideox: t5 xxl (226-token padding)\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl\nhidream: llama-3.1 (Recommend) or t5\nomnigen2: qwen vl 2.5 3B\njoyimage: qwen3-vl 8B\nlens: gpt-oss-20b\npixeldit: gemma 2 2B elm\nminimax: MiniMax H3 Qwen3-VL or Music3 Qwen/RVQ"
def load_clip(self, clip_name, type="stable_diffusion", device="default"):
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
@@ -2449,6 +2452,7 @@ async def init_builtin_extra_nodes():
"nodes_mahiro.py",
"nodes_lt_upsampler.py",
"nodes_lt_audio.py",
"nodes_minimax_music.py",
"nodes_minimax_h3.py",
"nodes_lt.py",
"nodes_hooks.py",