1
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-08-03 07:26:31 +08:00

Properly support SDXL diffusers unet with UNETLoader node.

This commit is contained in:
comfyanonymous
2023-07-21 14:38:56 -04:00
parent 0115018695
commit 58b2364f58
2 changed files with 23 additions and 16 deletions

View File

@@ -120,20 +120,24 @@ UNET_MAP_RESNET = {
}
UNET_MAP_BASIC = {
"label_emb.0.0.weight": "class_embedding.linear_1.weight",
"label_emb.0.0.bias": "class_embedding.linear_1.bias",
"label_emb.0.2.weight": "class_embedding.linear_2.weight",
"label_emb.0.2.bias": "class_embedding.linear_2.bias",
"input_blocks.0.0.weight": "conv_in.weight",
"input_blocks.0.0.bias": "conv_in.bias",
"out.0.weight": "conv_norm_out.weight",
"out.0.bias": "conv_norm_out.bias",
"out.2.weight": "conv_out.weight",
"out.2.bias": "conv_out.bias",
"time_embed.0.weight": "time_embedding.linear_1.weight",
"time_embed.0.bias": "time_embedding.linear_1.bias",
"time_embed.2.weight": "time_embedding.linear_2.weight",
"time_embed.2.bias": "time_embedding.linear_2.bias"
("label_emb.0.0.weight", "class_embedding.linear_1.weight"),
("label_emb.0.0.bias", "class_embedding.linear_1.bias"),
("label_emb.0.2.weight", "class_embedding.linear_2.weight"),
("label_emb.0.2.bias", "class_embedding.linear_2.bias"),
("label_emb.0.0.weight", "add_embedding.linear_1.weight"),
("label_emb.0.0.bias", "add_embedding.linear_1.bias"),
("label_emb.0.2.weight", "add_embedding.linear_2.weight"),
("label_emb.0.2.bias", "add_embedding.linear_2.bias"),
("input_blocks.0.0.weight", "conv_in.weight"),
("input_blocks.0.0.bias", "conv_in.bias"),
("out.0.weight", "conv_norm_out.weight"),
("out.0.bias", "conv_norm_out.bias"),
("out.2.weight", "conv_out.weight"),
("out.2.bias", "conv_out.bias"),
("time_embed.0.weight", "time_embedding.linear_1.weight"),
("time_embed.0.bias", "time_embedding.linear_1.bias"),
("time_embed.2.weight", "time_embedding.linear_2.weight"),
("time_embed.2.bias", "time_embedding.linear_2.bias")
}
def unet_to_diffusers(unet_config):
@@ -208,7 +212,7 @@ def unet_to_diffusers(unet_config):
n += 1
for k in UNET_MAP_BASIC:
diffusers_unet_map[UNET_MAP_BASIC[k]] = k
diffusers_unet_map[k[1]] = k[0]
return diffusers_unet_map