diff options
| -rw-r--r-- | modules/img2img.py | 21 | ||||
| -rw-r--r-- | modules/ui.py | 3 |
2 files changed, 16 insertions, 8 deletions
diff --git a/modules/img2img.py b/modules/img2img.py index 00c6f827..644297da 100644 --- a/modules/img2img.py +++ b/modules/img2img.py @@ -4,7 +4,7 @@ import sys import traceback
import numpy as np
-from PIL import Image, ImageOps, ImageChops
+from PIL import Image, ImageOps, ImageFilter, ImageEnhance
from modules import devices
from modules.processing import Processed, StableDiffusionProcessingImg2Img, process_images
@@ -40,7 +40,7 @@ def process_batch(p, input_dir, output_dir, args): img = Image.open(image)
# Use the EXIF orientation of photos taken by smartphones.
- img = ImageOps.exif_transpose(img)
+ img = ImageOps.exif_transpose(img)
p.init_images = [img] * p.batch_size
proc = modules.scripts.scripts_img2img.run(p, *args)
@@ -59,7 +59,7 @@ def process_batch(p, input_dir, output_dir, args): processed_image.save(os.path.join(output_dir, filename))
-def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, init_img, init_img_with_mask, init_img_with_mask_orig, init_img_inpaint, init_mask_inpaint, mask_mode, steps: int, sampler_index: int, mask_blur: int, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, 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, height: int, width: int, 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, *args):
+def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, init_img, init_img_with_mask, init_img_with_mask_orig, init_img_inpaint, init_mask_inpaint, mask_mode, steps: int, sampler_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, 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, height: int, width: int, 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, *args):
is_inpaint = mode == 1
is_batch = mode == 2
@@ -68,15 +68,20 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro if mask_mode == 0:
image = init_img_with_mask
is_mask_sketch = isinstance(image, dict)
- if is_mask_sketch:
+ is_mask_paint = not is_mask_sketch
+ if is_mask_sketch:
# Sketch: mask iff. not transparent
image, mask = image["image"], image["mask"]
- mask = np.array(mask)[..., -1] > 0
+ pred = np.array(mask)[..., -1] > 0
else:
# Color-sketch: mask iff. painted over
orig = init_img_with_mask_orig or image
- mask = np.any(np.array(image) != np.array(orig), axis=-1)
- mask = Image.fromarray(mask.astype(np.uint8) * 255, "L")
+ pred = np.any(np.array(image) != np.array(orig), axis=-1)
+ mask = Image.fromarray(pred.astype(np.uint8) * 255, "L")
+ if is_mask_paint:
+ 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")
# Uploaded mask
else:
@@ -89,7 +94,7 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro # Use the EXIF orientation of photos taken by smartphones.
if image is not None:
- image = ImageOps.exif_transpose(image)
+ image = ImageOps.exif_transpose(image)
assert 0. <= denoising_strength <= 1., 'can only work with strength in [0.0, 1.0]'
diff --git a/modules/ui.py b/modules/ui.py index 29954f2a..16982abf 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -854,6 +854,8 @@ def create_ui(wrap_gradio_gpu_call): init_img_inpaint = gr.Image(label="Image for img2img", show_label=False, source="upload", interactive=True, type="pil", visible=False, elem_id="img_inpaint_base")
init_mask_inpaint = gr.Image(label="Mask", source="upload", interactive=True, type="pil", visible=False, elem_id="img_inpaint_mask")
+ show_mask_alpha = cmd_opts.gradio_inpaint_tool == "color-sketch"
+ mask_alpha = gr.Slider(label="Mask transparency", interactive=show_mask_alpha, visible=show_mask_alpha)
mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4)
with gr.Row():
@@ -948,6 +950,7 @@ def create_ui(wrap_gradio_gpu_call): steps,
sampler_index,
mask_blur,
+ mask_alpha,
inpainting_fill,
restore_faces,
tiling,
|