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-rw-r--r--modules/img2img.py12
1 files changed, 11 insertions, 1 deletions
diff --git a/modules/img2img.py b/modules/img2img.py
index 1519e132..c81c7ab9 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -10,6 +10,7 @@ from modules import images as imgutil
from modules.generation_parameters_copypaste import create_override_settings_dict, parse_generation_parameters
from modules.processing import Processed, StableDiffusionProcessingImg2Img, process_images
from modules.shared import opts, state
+from modules.sd_models import get_closet_checkpoint_match
import modules.shared as shared
import modules.processing as processing
from modules.ui import plaintext_to_html
@@ -41,7 +42,8 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=Fal
cfg_scale = p.cfg_scale
sampler_name = p.sampler_name
steps = p.steps
-
+ override_settings = p.override_settings
+ sd_model_checkpoint_override = get_closet_checkpoint_match(override_settings.get("sd_model_checkpoint", None))
for i, image in enumerate(images):
state.job = f"{i+1} out of {len(images)}"
if state.skipped:
@@ -104,6 +106,14 @@ def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=Fal
p.sampler_name = parsed_parameters.get("Sampler", sampler_name)
p.steps = int(parsed_parameters.get("Steps", steps))
+ model_info = get_closet_checkpoint_match(parsed_parameters.get("Model hash", None))
+ if model_info is not None:
+ p.override_settings['sd_model_checkpoint'] = model_info.name
+ elif sd_model_checkpoint_override:
+ p.override_settings['sd_model_checkpoint'] = sd_model_checkpoint_override
+ else:
+ p.override_settings.pop("sd_model_checkpoint", None)
+
proc = modules.scripts.scripts_img2img.run(p, *args)
if proc is None:
if output_dir: