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Fix qwen scaled fp8 not working with kandinsky. Make basic t2i wf work. (#11162)

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comfyanonymous
2025-12-06 17:50:10 -08:00
committed by GitHub
parent 4086acf3c2
commit 329480da5a
2 changed files with 13 additions and 7 deletions
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12
comfy/text_encoders/kandinsky5.py
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@@ -24,10 +24,10 @@ class Kandinsky5TokenizerImage(Kandinsky5Tokenizer):
class Qwen25_7BVLIModel(sd1_clip.SDClipModel):
def __init__(self, device="cpu", layer="hidden", layer_idx=-1, dtype=None, attention_mask=True, model_options={}):
llama_scaled_fp8 = model_options.get("qwen_scaled_fp8", None)
if llama_scaled_fp8 is not None:
llama_quantization_metadata = model_options.get("llama_quantization_metadata", None)
if llama_quantization_metadata is not None:
model_options = model_options.copy()
model_options["scaled_fp8"] = llama_scaled_fp8
model_options["quantization_metadata"] = llama_quantization_metadata
super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config={}, dtype=dtype, special_tokens={"pad": 151643}, layer_norm_hidden_state=False, model_class=Qwen25_7BVLI, enable_attention_masks=attention_mask, return_attention_masks=attention_mask, model_options=model_options)
@@ -56,12 +56,12 @@ class Kandinsky5TEModel(QwenImageTEModel):
else:
return super().load_sd(sd)
def te(dtype_llama=None, llama_scaled_fp8=None):
def te(dtype_llama=None, llama_quantization_metadata=None):
class Kandinsky5TEModel_(Kandinsky5TEModel):
def __init__(self, device="cpu", dtype=None, model_options={}):
if llama_scaled_fp8 is not None and "scaled_fp8" not in model_options:
if llama_quantization_metadata is not None:
model_options = model_options.copy()
model_options["qwen_scaled_fp8"] = llama_scaled_fp8
model_options["llama_quantization_metadata"] = llama_quantization_metadata
if dtype_llama is not None:
dtype = dtype_llama
super().__init__(device=device, dtype=dtype, model_options=model_options)