andreas/ComfyUI
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Implement the USO subject identity lora. (#9674)

Browse Source 
Use the lora with FluxContextMultiReferenceLatentMethod node set to "uso"
and a ReferenceLatent node with the reference image.
This commit is contained in:
comfyanonymous
2025-09-01 15:54:02 -07:00
committed by GitHub
parent 9b15155972
commit 27e067ce50
4 changed files with 32 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

19
comfy/lora_convert.py
View File

@@ -15,10 +15,29 @@ def convert_lora_bfl_control(sd): #BFL loras for Flux
def convert_lora_wan_fun(sd): #Wan Fun loras
return comfy.utils.state_dict_prefix_replace(sd, {"lora_unet__": "lora_unet_"})
def convert_uso_lora(sd):
sd_out = {}
for k in sd:
tensor = sd[k]
k_to = "diffusion_model.{}".format(k.replace(".down.weight", ".lora_down.weight")
.replace(".up.weight", ".lora_up.weight")
.replace(".qkv_lora2.", ".txt_attn.qkv.")
.replace(".qkv_lora1.", ".img_attn.qkv.")
.replace(".proj_lora1.", ".img_attn.proj.")
.replace(".proj_lora2.", ".txt_attn.proj.")
.replace(".qkv_lora.", ".linear1_qkv.")
.replace(".proj_lora.", ".linear2.")
.replace(".processor.", ".")
)
sd_out[k_to] = tensor
return sd_out
def convert_lora(sd):
if "img_in.lora_A.weight" in sd and "single_blocks.0.norm.key_norm.scale" in sd:
return convert_lora_bfl_control(sd)
if "lora_unet__blocks_0_cross_attn_k.lora_down.weight" in sd:
return convert_lora_wan_fun(sd)
if "single_blocks.37.processor.qkv_lora.up.weight" in sd and "double_blocks.18.processor.qkv_lora2.up.weight" in sd:
return convert_uso_lora(sd)
return sd