Merge branch 'AUTOMATIC1111:master' into master

1 files changed, 12 insertions, 3 deletions

diff --git a/modules/img2img.py b/modules/img2img.py
index eea5199b..efda26e1 100644
--- a/modules/img2img.py
+++ b/modules/img2img.py
@@ -19,7 +19,7 @@ import modules.scripts
 def process_batch(p, input_dir, output_dir, args):

     processing.fix_seed(p)

 

-    images = [file for file in [os.path.join(input_dir, x) for x in os.listdir(input_dir)] if os.path.isfile(file)]

+    images = shared.listfiles(input_dir)

 

     print(f"Will process {len(images)} images, creating {p.n_iter * p.batch_size} new images for each.")

 

@@ -39,6 +39,8 @@ def process_batch(p, input_dir, output_dir, args):
             break

 

         img = Image.open(image)

+        # Use the EXIF orientation of photos taken by smartphones.

+        img = ImageOps.exif_transpose(img) 

         p.init_images = [img] * p.batch_size

 

         proc = modules.scripts.scripts_img2img.run(p, *args)

@@ -56,24 +58,30 @@ 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_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, aesthetic_lr=0, aesthetic_weight=0, aesthetic_steps=0, aesthetic_imgs=None, aesthetic_slerp=False, aesthetic_imgs_text="", aesthetic_slerp_angle=0.15, aesthetic_text_negative=False, *args):

+def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, prompt_style2: str, init_img, init_img_with_mask, 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):

     is_inpaint = mode == 1

     is_batch = mode == 2

 

     if is_inpaint:

+        # Drawn mask

         if mask_mode == 0:

             image = init_img_with_mask['image']

             mask = init_img_with_mask['mask']

             alpha_mask = ImageOps.invert(image.split()[-1]).convert('L').point(lambda x: 255 if x > 0 else 0, mode='1')

             mask = ImageChops.lighter(alpha_mask, mask.convert('L')).convert('L')

             image = image.convert('RGB')

+        # Uploaded mask

         else:

             image = init_img_inpaint

             mask = init_mask_inpaint

+    # No mask

     else:

         image = init_img

         mask = None

 

+    # Use the EXIF orientation of photos taken by smartphones.

+    image = ImageOps.exif_transpose(image) 

+

     assert 0. <= denoising_strength <= 1., 'can only work with strength in [0.0, 1.0]'

 

     p = StableDiffusionProcessingImg2Img(

@@ -109,7 +117,8 @@ def img2img(mode: int, prompt: str, negative_prompt: str, prompt_style: str, pro
         inpainting_mask_invert=inpainting_mask_invert,

     )

 

-    shared.aesthetic_clip.set_aesthetic_params(p, float(aesthetic_lr), float(aesthetic_weight), int(aesthetic_steps), aesthetic_imgs, aesthetic_slerp, aesthetic_imgs_text, aesthetic_slerp_angle, aesthetic_text_negative)

+    p.scripts = modules.scripts.scripts_txt2img

+    p.script_args = args

 

     if shared.cmd_opts.enable_console_prompts:

         print(f"\nimg2img: {prompt}", file=shared.progress_print_out)