diff options
Diffstat (limited to 'modules/img2img.py')
| -rw-r--r-- | modules/img2img.py | 72 |
1 files changed, 47 insertions, 25 deletions
diff --git a/modules/img2img.py b/modules/img2img.py index c7bbbac8..c583290a 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 +42,10 @@ 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))
+ batch_results = None
+ discard_further_results = False
for i, image in enumerate(images):
state.job = f"{i+1} out of {len(images)}"
if state.skipped:
@@ -104,33 +108,58 @@ 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)
+
+ if output_dir:
+ p.outpath_samples = output_dir
+ p.override_settings['save_to_dirs'] = False
+ p.override_settings['save_images_replace_action'] = "Add number suffix"
+ if p.n_iter > 1 or p.batch_size > 1:
+ p.override_settings['samples_filename_pattern'] = f'{image_path.stem}-[generation_number]'
+ else:
+ p.override_settings['samples_filename_pattern'] = f'{image_path.stem}'
+
proc = modules.scripts.scripts_img2img.run(p, *args)
+
if proc is None:
- if output_dir:
- p.outpath_samples = output_dir
- p.override_settings['save_to_dirs'] = False
- if p.n_iter > 1 or p.batch_size > 1:
- p.override_settings['samples_filename_pattern'] = f'{image_path.stem}-[generation_number]'
- else:
- p.override_settings['samples_filename_pattern'] = f'{image_path.stem}'
- process_images(p)
+ p.override_settings.pop('save_images_replace_action', None)
+ proc = process_images(p)
+ if not discard_further_results and proc:
+ if batch_results:
+ batch_results.images.extend(proc.images)
+ batch_results.infotexts.extend(proc.infotexts)
+ else:
+ batch_results = proc
-def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_name: str, mask_blur: int, mask_alpha: float, inpainting_fill: int, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, img2img_batch_use_png_info: bool, img2img_batch_png_info_props: list, img2img_batch_png_info_dir: str, request: gr.Request, *args):
+ if 0 <= shared.opts.img2img_batch_show_results_limit < len(batch_results.images):
+ discard_further_results = True
+ batch_results.images = batch_results.images[:int(shared.opts.img2img_batch_show_results_limit)]
+ batch_results.infotexts = batch_results.infotexts[:int(shared.opts.img2img_batch_show_results_limit)]
+
+ return batch_results
+
+
+def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_name: str, mask_blur: int, mask_alpha: float, inpainting_fill: int, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, img2img_batch_use_png_info: bool, img2img_batch_png_info_props: list, img2img_batch_png_info_dir: str, request: gr.Request, *args):
override_settings = create_override_settings_dict(override_settings_texts)
is_batch = mode == 5
if mode == 0: # img2img
- image = init_img.convert("RGB")
+ image = init_img
mask = None
elif mode == 1: # img2img sketch
- image = sketch.convert("RGB")
+ image = sketch
mask = None
elif mode == 2: # inpaint
image, mask = init_img_with_mask["image"], init_img_with_mask["mask"]
- mask = mask.split()[-1].convert("L").point(lambda x: 255 if x > 128 else 0)
- image = image.convert("RGB")
+ mask = processing.create_binary_mask(mask)
elif mode == 3: # inpaint sketch
image = inpaint_color_sketch
orig = inpaint_color_sketch_orig or inpaint_color_sketch
@@ -139,7 +168,6 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s mask = ImageEnhance.Brightness(mask).enhance(1 - mask_alpha / 100)
blur = ImageFilter.GaussianBlur(mask_blur)
image = Image.composite(image.filter(blur), orig, mask.filter(blur))
- image = image.convert("RGB")
elif mode == 4: # inpaint upload mask
image = init_img_inpaint
mask = init_mask_inpaint
@@ -166,12 +194,6 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s prompt=prompt,
negative_prompt=negative_prompt,
styles=prompt_styles,
- seed=seed,
- subseed=subseed,
- subseed_strength=subseed_strength,
- seed_resize_from_h=seed_resize_from_h,
- seed_resize_from_w=seed_resize_from_w,
- seed_enable_extras=seed_enable_extras,
sampler_name=sampler_name,
batch_size=batch_size,
n_iter=n_iter,
@@ -197,7 +219,7 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s p.user = request.username
- if shared.cmd_opts.enable_console_prompts:
+ if shared.opts.enable_console_prompts:
print(f"\nimg2img: {prompt}", file=shared.progress_print_out)
if mask:
@@ -206,10 +228,10 @@ def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_s with closing(p):
if is_batch:
assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"
+ processed = process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
- process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by, use_png_info=img2img_batch_use_png_info, png_info_props=img2img_batch_png_info_props, png_info_dir=img2img_batch_png_info_dir)
-
- processed = Processed(p, [], p.seed, "")
+ if processed is None:
+ processed = Processed(p, [], p.seed, "")
else:
processed = modules.scripts.scripts_img2img.run(p, *args)
if processed is None:
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