update reforge

modules/images.py

@@ -604,12 +604,32 @@ def save_image_with_geninfo(image, geninfo, filename, extension=None, existing_p
         image.save(filename, format=image_format, quality=opts.jpeg_quality, pnginfo=pnginfo_data)
 
     elif extension.lower() in (".jpg", ".jpeg", ".webp"):
-        if image.mode == 'RGBA':
-            image = image.convert("RGB")
-        elif image.mode == 'I;16':
-            image = image.point(lambda p: p * 0.0038910505836576).convert("RGB" if extension.lower() == ".webp" else "L")
-
-        image.save(filename, format=image_format, quality=opts.jpeg_quality, lossless=opts.webp_lossless)
+        img_to_save = image
+        save_options = {"quality": opts.jpeg_quality}
+
+        if img_to_save.mode == 'RGBA':
+            convertToRGB = True
+            if extension.lower() == ".webp":
+                stealth_pnginfo_opt = shared.opts.data.get('stealth_pnginfo_opt', 'Alpha')
+                if stealth_pnginfo_opt == 'Alpha':
+                    convertToRGB = False # Keep RGBA for stealth info in alpha
+                    if opts.webp_lossless:
+                        save_options["lossless"] = True
+                    else:
+                        # For lossy WebP, try to make alpha lossless for LSB steganography
+                        save_options["lossless"] = False
+                        save_options["alpha_quality"] = 100 # Crucial for attempting LSB on lossy WebP alpha
+
+            if convertToRGB:
+                img_to_save = img_to_save.convert("RGB")
+        elif img_to_save.mode == 'I;16':
+            img_to_save = img_to_save.point(lambda p: p * 0.0038910505836576).convert("RGB" if extension.lower() == ".webp" else "L")
+
+        # Ensure lossless is explicitly set for webp if not already by stealth logic
+        if extension.lower() == ".webp" and "lossless" not in save_options:
+            save_options["lossless"] = opts.webp_lossless
+
+        img_to_save.save(filename, format=image_format, **save_options)
 
         if opts.enable_pnginfo and geninfo is not None:
             exif_bytes = piexif.dump({

modules/launch_utils.py

@@ -393,7 +393,7 @@ def prepare_environment():
     requirements_file = os.environ.get('REQS_FILE', "requirements_versions.txt")
     requirements_file_for_npu = os.environ.get('REQS_FILE_FOR_NPU', "requirements_npu.txt")
 
-    xformers_package = os.environ.get('XFORMERS_PACKAGE', '--index-url https://download.pytorch.org/whl/cu124 xformers')
+    xformers_package = os.environ.get('XFORMERS_PACKAGE', '--index-url https://download.pytorch.org/whl/cu128 xformers')
     clip_package = os.environ.get('CLIP_PACKAGE', "https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip")
     openclip_package = os.environ.get('OPENCLIP_PACKAGE', "https://github.com/mlfoundations/open_clip/archive/bb6e834e9c70d9c27d0dc3ecedeebeaeb1ffad6b.zip")
 

modules/stealth_infotext.py

@@ -8,7 +8,7 @@ def add_stealth_pnginfo(params: ImageSaveParams):
     stealth_pnginfo_opt = shared.opts.data.get('stealth_pnginfo_opt', 'Alpha')
     if not stealth_pnginfo_opt or stealth_pnginfo_opt == 'None':
         return
-    if not params.filename.endswith('.png') or params.pnginfo is None:
+    if not params.filename.endswith(('.png', '.webp')) or params.pnginfo is None:
         return
     if 'parameters' not in params.pnginfo:
         return

modules/ui.py

@@ -305,7 +305,7 @@ def create_ui():
                             if opts.dimensions_and_batch_together:
                                 with gr.Column(elem_id="txt2img_column_batch"):
                                     batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1, elem_id="txt2img_batch_count")
-                                    batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1, elem_id="txt2img_batch_size")
+                                    batch_size = gr.Slider(minimum=1, maximum=50, step=1, label='Batch size', value=1, elem_id="txt2img_batch_size")
 
                     elif category == "cfg":
                         with gr.Row():
@@ -358,7 +358,7 @@ def create_ui():
                         if not opts.dimensions_and_batch_together:
                             with FormRow(elem_id="txt2img_column_batch"):
                                 batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1, elem_id="txt2img_batch_count")
-                                batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1, elem_id="txt2img_batch_size")
+                                batch_size = gr.Slider(minimum=1, maximum=50, step=1, label='Batch size', value=1, elem_id="txt2img_batch_size")
 
                     elif category == "override_settings":
                         with FormRow(elem_id="txt2img_override_settings_row") as row:
@@ -666,7 +666,7 @@ def create_ui():
                             if opts.dimensions_and_batch_together:
                                 with gr.Column(elem_id="img2img_column_batch"):
                                     batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1, elem_id="img2img_batch_count")
-                                    batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1, elem_id="img2img_batch_size")
+                                    batch_size = gr.Slider(minimum=1, maximum=50, step=1, label='Batch size', value=1, elem_id="img2img_batch_size")
 
                     elif category == "denoising":
                         denoising_strength = gr.Slider(minimum=0.0, maximum=1.0, step=0.01, label='Denoising strength', value=0.75, elem_id="img2img_denoising_strength")
@@ -688,7 +688,7 @@ def create_ui():
                         if not opts.dimensions_and_batch_together:
                             with FormRow(elem_id="img2img_column_batch"):
                                 batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1, elem_id="img2img_batch_count")
-                                batch_size = gr.Slider(minimum=1, maximum=8, step=1, label='Batch size', value=1, elem_id="img2img_batch_size")
+                                batch_size = gr.Slider(minimum=1, maximum=50, step=1, label='Batch size', value=1, elem_id="img2img_batch_size")
 
                     elif category == "override_settings":
                         with FormRow(elem_id="img2img_override_settings_row") as row: