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authorMaiko Tan <maiko.tan.coding@gmail.com>2022-11-19 20:13:07 +0800
committerMaiko Tan <maiko.tan.coding@gmail.com>2022-11-19 20:13:07 +0800
commit336c341a7c3fe81cdf0fc45616ed0c16c79a2c6f (patch)
tree6760fd7f15a9049365a1ee2c56de37dd456504bd /modules/textual_inversion
parent8f2ff861d31972d12de278075ea9c0c0deef99de (diff)
parent84a6f211d407cd748c603edc3a81862488505c24 (diff)
Merge branch 'master' into api-authorization
Diffstat (limited to 'modules/textual_inversion')
-rw-r--r--modules/textual_inversion/textual_inversion.py4
-rw-r--r--modules/textual_inversion/ui.py2
2 files changed, 3 insertions, 3 deletions
diff --git a/modules/textual_inversion/textual_inversion.py b/modules/textual_inversion/textual_inversion.py
index 0aeb0459..5e4d8688 100644
--- a/modules/textual_inversion/textual_inversion.py
+++ b/modules/textual_inversion/textual_inversion.py
@@ -10,7 +10,7 @@ import csv
from PIL import Image, PngImagePlugin
-from modules import shared, devices, sd_hijack, processing, sd_models, images
+from modules import shared, devices, sd_hijack, processing, sd_models, images, sd_samplers
import modules.textual_inversion.dataset
from modules.textual_inversion.learn_schedule import LearnRateScheduler
@@ -345,7 +345,7 @@ def train_embedding(embedding_name, learn_rate, batch_size, data_root, log_direc
p.prompt = preview_prompt
p.negative_prompt = preview_negative_prompt
p.steps = preview_steps
- p.sampler_index = preview_sampler_index
+ p.sampler_name = sd_samplers.samplers[preview_sampler_index].name
p.cfg_scale = preview_cfg_scale
p.seed = preview_seed
p.width = preview_width
diff --git a/modules/textual_inversion/ui.py b/modules/textual_inversion/ui.py
index d679e6f4..35c4feef 100644
--- a/modules/textual_inversion/ui.py
+++ b/modules/textual_inversion/ui.py
@@ -18,7 +18,7 @@ def create_embedding(name, initialization_text, nvpt, overwrite_old):
def preprocess(*args):
modules.textual_inversion.preprocess.preprocess(*args)
- return "Preprocessing finished.", ""
+ return f"Preprocessing {'interrupted' if shared.state.interrupted else 'finished'}.", ""
def train_embedding(*args):