Initial support for qwen image model. (#9179)

This commit is contained in:
comfyanonymous
2025-08-04 19:53:25 -07:00
committed by GitHub
parent 03895dea7c
commit c012400240
8 changed files with 557 additions and 4 deletions

View File

@@ -42,6 +42,7 @@ import comfy.ldm.hidream.model
import comfy.ldm.chroma.model
import comfy.ldm.ace.model
import comfy.ldm.omnigen.omnigen2
import comfy.ldm.qwen_image.model
import comfy.model_management
import comfy.patcher_extension
@@ -1308,3 +1309,14 @@ class Omnigen2(BaseModel):
if ref_latents is not None:
out['ref_latents'] = list([1, 16, sum(map(lambda a: math.prod(a.size()), ref_latents)) // 16])
return out
class QwenImage(BaseModel):
def __init__(self, model_config, model_type=ModelType.FLUX, device=None):
super().__init__(model_config, model_type, device=device, unet_model=comfy.ldm.qwen_image.model.QwenImageTransformer2DModel)
def extra_conds(self, **kwargs):
out = super().extra_conds(**kwargs)
cross_attn = kwargs.get("cross_attn", None)
if cross_attn is not None:
out['c_crossattn'] = comfy.conds.CONDRegular(cross_attn)
return out