Merge branch 'dev' into gradual_latent_hires_fix

This commit is contained in:
Kohya S
2024-02-12 12:59:25 +09:00
62 changed files with 1428 additions and 993 deletions

View File

@@ -7,7 +7,10 @@ from safetensors.torch import load_file
from library.original_unet import UNet2DConditionModel, SampleOutput
import library.model_util as model_util
from library.utils import setup_logging
setup_logging()
import logging
logger = logging.getLogger(__name__)
class ControlNetInfo(NamedTuple):
unet: Any
@@ -51,7 +54,7 @@ def load_control_net(v2, unet, model):
# control sdからキー変換しつつU-Netに対応する部分のみ取り出し、DiffusersのU-Netに読み込む
# state dictを読み込む
print(f"ControlNet: loading control SD model : {model}")
logger.info(f"ControlNet: loading control SD model : {model}")
if model_util.is_safetensors(model):
ctrl_sd_sd = load_file(model)
@@ -61,7 +64,7 @@ def load_control_net(v2, unet, model):
# 重みをU-Netに読み込めるようにする。ControlNetはSD版のstate dictなので、それを読み込む
is_difference = "difference" in ctrl_sd_sd
print("ControlNet: loading difference:", is_difference)
logger.info(f"ControlNet: loading difference: {is_difference}")
# ControlNetには存在しないキーがあるので、まず現在のU-NetでSD版の全keyを作っておく
# またTransfer Controlの元weightとなる
@@ -89,13 +92,13 @@ def load_control_net(v2, unet, model):
# ControlNetのU-Netを作成する
ctrl_unet = UNet2DConditionModel(**unet_config)
info = ctrl_unet.load_state_dict(ctrl_unet_du_sd)
print("ControlNet: loading Control U-Net:", info)
logger.info(f"ControlNet: loading Control U-Net: {info}")
# U-Net以外のControlNetを作成する
# TODO support middle only
ctrl_net = ControlNet()
info = ctrl_net.load_state_dict(zero_conv_sd)
print("ControlNet: loading ControlNet:", info)
logger.info("ControlNet: loading ControlNet: {info}")
ctrl_unet.to(unet.device, dtype=unet.dtype)
ctrl_net.to(unet.device, dtype=unet.dtype)
@@ -117,7 +120,7 @@ def load_preprocess(prep_type: str):
return canny
print("Unsupported prep type:", prep_type)
logger.info(f"Unsupported prep type: {prep_type}")
return None
@@ -174,7 +177,7 @@ def call_unet_and_control_net(
cnet_idx = step % cnet_cnt
cnet_info = control_nets[cnet_idx]
# print(current_ratio, cnet_info.prep, cnet_info.weight, cnet_info.ratio)
# logger.info(current_ratio, cnet_info.prep, cnet_info.weight, cnet_info.ratio)
if cnet_info.ratio < current_ratio:
return original_unet(sample, timestep, encoder_hidden_states)
@@ -205,7 +208,7 @@ def call_unet_and_control_net(
# ControlNet
cnet_outs_list = []
for i, cnet_info in enumerate(control_nets):
# print(current_ratio, cnet_info.prep, cnet_info.weight, cnet_info.ratio)
# logger.info(current_ratio, cnet_info.prep, cnet_info.weight, cnet_info.ratio)
if cnet_info.ratio < current_ratio:
continue
guided_hint = guided_hints[i]
@@ -245,7 +248,7 @@ def unet_forward(
upsample_size = None
if any(s % default_overall_up_factor != 0 for s in sample.shape[-2:]):
print("Forward upsample size to force interpolation output size.")
logger.info("Forward upsample size to force interpolation output size.")
forward_upsample_size = True
# 1. time