Preserve non-square photo canvas in Qwen worker

Use area-based canvas sizing, apply EXIF orientation, and keep fixed VAE conditioning area to avoid portrait/wide photo crop regressions.

app.py

@@ -1,226 +1,232 @@
-import os
-import gc
-import gradio as gr
-import numpy as np
-import spaces
-import torch
-import random
-from PIL import Image
-from typing import Iterable
-from gradio.themes import Soft
-from gradio.themes.utils import colors, fonts, sizes
-
-colors.orange_red = colors.Color(
-    name="orange_red",
-    c50="#FFF0E5",
-    c100="#FFE0CC",
-    c200="#FFC299",
-    c300="#FFA366",
-    c400="#FF8533",
-    c500="#FF4500",
-    c600="#E63E00",
-    c700="#CC3700",
-    c800="#B33000",
-    c900="#992900",
-    c950="#802200",
-)
-
-class OrangeRedTheme(Soft):
-    def __init__(
-        self,
-        *,
-        primary_hue: colors.Color | str = colors.gray,
-        secondary_hue: colors.Color | str = colors.orange_red,
-        neutral_hue: colors.Color | str = colors.slate,
-        text_size: sizes.Size | str = sizes.text_lg,
-        font: fonts.Font | str | Iterable[fonts.Font | str] = (
-            fonts.GoogleFont("Outfit"), "Arial", "sans-serif",
-        ),
-        font_mono: fonts.Font | str | Iterable[fonts.Font | str] = (
-            fonts.GoogleFont("IBM Plex Mono"), "ui-monospace", "monospace",
-        ),
-    ):
-        super().__init__(
-            primary_hue=primary_hue,
-            secondary_hue=secondary_hue,
-            neutral_hue=neutral_hue,
-            text_size=text_size,
-            font=font,
-            font_mono=font_mono,
-        )
-        super().set(
-            background_fill_primary="*primary_50",
-            background_fill_primary_dark="*primary_900",
-            body_background_fill="linear-gradient(135deg, *primary_200, *primary_100)",
-            body_background_fill_dark="linear-gradient(135deg, *primary_900, *primary_800)",
-            button_primary_text_color="white",
-            button_primary_text_color_hover="white",
-            button_primary_background_fill="linear-gradient(90deg, *secondary_500, *secondary_600)",
-            button_primary_background_fill_hover="linear-gradient(90deg, *secondary_600, *secondary_700)",
-            button_primary_background_fill_dark="linear-gradient(90deg, *secondary_600, *secondary_700)",
-            button_primary_background_fill_hover_dark="linear-gradient(90deg, *secondary_500, *secondary_600)",
-            button_secondary_text_color="black",
-            button_secondary_text_color_hover="white",
-            button_secondary_background_fill="linear-gradient(90deg, *primary_300, *primary_300)",
-            button_secondary_background_fill_hover="linear-gradient(90deg, *primary_400, *primary_400)",
-            button_secondary_background_fill_dark="linear-gradient(90deg, *primary_500, *primary_600)",
-            button_secondary_background_fill_hover_dark="linear-gradient(90deg, *primary_500, *primary_500)",
-            slider_color="*secondary_500",
-            slider_color_dark="*secondary_600",
-            block_title_text_weight="600",
-            block_border_width="3px",
-            block_shadow="*shadow_drop_lg",
-            button_primary_shadow="*shadow_drop_lg",
-            button_large_padding="11px",
-            color_accent_soft="*primary_100",
-            block_label_background_fill="*primary_200",
-        )
-
-orange_red_theme = OrangeRedTheme()
-
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-
-print("CUDA_VISIBLE_DEVICES=", os.environ.get("CUDA_VISIBLE_DEVICES"))
-print("torch.__version__ =", torch.__version__)
-print("Using device:", device)
-
-from diffusers import FlowMatchEulerDiscreteScheduler
-from qwenimage.pipeline_qwenimage_edit_plus import QwenImageEditPlusPipeline
-from qwenimage.transformer_qwenimage import QwenImageTransformer2DModel
-
-dtype = torch.bfloat16
-
-pipe = QwenImageEditPlusPipeline.from_pretrained(
-    "Qwen/Qwen-Image-Edit-2511",
-    transformer=QwenImageTransformer2DModel.from_pretrained(
-        "prithivMLmods/Qwen-Image-Edit-Rapid-AIO-V19",
-        torch_dtype=dtype,
-        device_map='cuda'
-    ),
-    torch_dtype=dtype
-).to(device)
-
+import os
+import gc
+import gradio as gr
+import numpy as np
+import spaces
+import torch
+import random
+from PIL import Image, ImageOps
+from typing import Iterable
+from gradio.themes import Soft
+from gradio.themes.utils import colors, fonts, sizes
+
+colors.orange_red = colors.Color(
+    name="orange_red",
+    c50="#FFF0E5",
+    c100="#FFE0CC",
+    c200="#FFC299",
+    c300="#FFA366",
+    c400="#FF8533",
+    c500="#FF4500",
+    c600="#E63E00",
+    c700="#CC3700",
+    c800="#B33000",
+    c900="#992900",
+    c950="#802200",
+)
+
+class OrangeRedTheme(Soft):
+    def __init__(
+        self,
+        *,
+        primary_hue: colors.Color | str = colors.gray,
+        secondary_hue: colors.Color | str = colors.orange_red,
+        neutral_hue: colors.Color | str = colors.slate,
+        text_size: sizes.Size | str = sizes.text_lg,
+        font: fonts.Font | str | Iterable[fonts.Font | str] = (
+            fonts.GoogleFont("Outfit"), "Arial", "sans-serif",
+        ),
+        font_mono: fonts.Font | str | Iterable[fonts.Font | str] = (
+            fonts.GoogleFont("IBM Plex Mono"), "ui-monospace", "monospace",
+        ),
+    ):
+        super().__init__(
+            primary_hue=primary_hue,
+            secondary_hue=secondary_hue,
+            neutral_hue=neutral_hue,
+            text_size=text_size,
+            font=font,
+            font_mono=font_mono,
+        )
+        super().set(
+            background_fill_primary="*primary_50",
+            background_fill_primary_dark="*primary_900",
+            body_background_fill="linear-gradient(135deg, *primary_200, *primary_100)",
+            body_background_fill_dark="linear-gradient(135deg, *primary_900, *primary_800)",
+            button_primary_text_color="white",
+            button_primary_text_color_hover="white",
+            button_primary_background_fill="linear-gradient(90deg, *secondary_500, *secondary_600)",
+            button_primary_background_fill_hover="linear-gradient(90deg, *secondary_600, *secondary_700)",
+            button_primary_background_fill_dark="linear-gradient(90deg, *secondary_600, *secondary_700)",
+            button_primary_background_fill_hover_dark="linear-gradient(90deg, *secondary_500, *secondary_600)",
+            button_secondary_text_color="black",
+            button_secondary_text_color_hover="white",
+            button_secondary_background_fill="linear-gradient(90deg, *primary_300, *primary_300)",
+            button_secondary_background_fill_hover="linear-gradient(90deg, *primary_400, *primary_400)",
+            button_secondary_background_fill_dark="linear-gradient(90deg, *primary_500, *primary_600)",
+            button_secondary_background_fill_hover_dark="linear-gradient(90deg, *primary_500, *primary_500)",
+            slider_color="*secondary_500",
+            slider_color_dark="*secondary_600",
+            block_title_text_weight="600",
+            block_border_width="3px",
+            block_shadow="*shadow_drop_lg",
+            button_primary_shadow="*shadow_drop_lg",
+            button_large_padding="11px",
+            color_accent_soft="*primary_100",
+            block_label_background_fill="*primary_200",
+        )
+
+orange_red_theme = OrangeRedTheme()
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+print("CUDA_VISIBLE_DEVICES=", os.environ.get("CUDA_VISIBLE_DEVICES"))
+print("torch.__version__ =", torch.__version__)
+print("Using device:", device)
+
+from diffusers import FlowMatchEulerDiscreteScheduler
+from qwenimage.pipeline_qwenimage_edit_plus import QwenImageEditPlusPipeline
+from qwenimage.transformer_qwenimage import QwenImageTransformer2DModel
+
+dtype = torch.bfloat16
+
+pipe = QwenImageEditPlusPipeline.from_pretrained(
+    "Qwen/Qwen-Image-Edit-2511",
+    transformer=QwenImageTransformer2DModel.from_pretrained(
+        "prithivMLmods/Qwen-Image-Edit-Rapid-AIO-V19",
+        torch_dtype=dtype,
+        device_map='cuda'
+    ),
+    torch_dtype=dtype
+).to(device)
+
 print("Flash Attention 3 disabled for ZeroGPU A10G compatibility; using default attention.")
-
-MAX_SEED = np.iinfo(np.int32).max
-
-ADAPTER_SPECS = {
-    "Multiple-Angles": {
-        "repo": "dx8152/Qwen-Edit-2509-Multiple-angles",
-        "weights": "镜头转换.safetensors",
-        "adapter_name": "multiple-angles"
-    },
-    "Photo-to-Anime": {
-        "repo": "autoweeb/Qwen-Image-Edit-2509-Photo-to-Anime",
-        "weights": "Qwen-Image-Edit-2509-Photo-to-Anime_000001000.safetensors",
-        "adapter_name": "photo-to-anime"
-    },
-    "Anime-V2": {
-        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Anime",
-        "weights": "Qwen-Image-Edit-2511-Anime-2000.safetensors",
-        "adapter_name": "anime-v2"
-    },
-    "Light-Migration": {
-        "repo": "dx8152/Qwen-Edit-2509-Light-Migration",
-        "weights": "参考色调.safetensors",
-        "adapter_name": "light-migration"
-    },
-    "Upscaler": {
-        "repo": "starsfriday/Qwen-Image-Edit-2511-Upscale2K",
-        "weights": "qwen_image_edit_2511_upscale.safetensors",
-        "adapter_name": "upscale-2k"
-    },
-    "Style-Transfer": {
-        "repo": "zooeyy/Style-Transfer",
-        "weights": "Style Transfer-Alpha-V0.1.safetensors",
-        "adapter_name": "style-transfer"
-    },
-    "Manga-Tone": {
-        "repo": "nappa114514/Qwen-Image-Edit-2509-Manga-Tone",
-        "weights": "tone001.safetensors",
-        "adapter_name": "manga-tone"
-    },
-    "Anything2Real": {
-        "repo": "lrzjason/Anything2Real_2601",
-        "weights": "anything2real_2601.safetensors",
-        "adapter_name": "anything2real"
-    },
-    "Fal-Multiple-Angles": {
-        "repo": "fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA",
-        "weights": "qwen-image-edit-2511-multiple-angles-lora.safetensors",
-        "adapter_name": "fal-multiple-angles"
-    },
-    "Polaroid-Photo": {
-        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Polaroid-Photo",
-        "weights": "Qwen-Image-Edit-2511-Polaroid-Photo.safetensors",
-        "adapter_name": "polaroid-photo"
-    },
-    "Unblur-Anything": {
-        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Unblur-Upscale",
-        "weights": "Qwen-Image-Edit-Unblur-Upscale_15.safetensors",
-        "adapter_name": "unblur-anything"
-    },
-    "Midnight-Noir-Eyes-Spotlight": {
-        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Midnight-Noir-Eyes-Spotlight",
-        "weights": "Qwen-Image-Edit-2511-Midnight-Noir-Eyes-Spotlight.safetensors",
-        "adapter_name": "midnight-noir-eyes-spotlight"
-    },
-    "Hyper-Realistic-Portrait": {
-       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait",
-       "weights": "HRP_20.safetensors",
-       "adapter_name": "hyper-realistic-portrait"
-   },     
-    "Ultra-Realistic-Portrait": {
-       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Ultra-Realistic-Portrait",
-       "weights": "URP_20.safetensors",
-       "adapter_name": "ultra-realistic-portrait"
-   },     
-    "Pixar-Inspired-3D": {
-       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Pixar-Inspired-3D",
-       "weights": "PI3_20.safetensors",
-       "adapter_name": "pi3"
-   },
-    "Noir-Comic-Book": {
-       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Noir-Comic-Book-Panel",
-       "weights": "Noir-Comic-Book-Panel_20.safetensors",
-       "adapter_name": "ncb"
-   },  
-    "Any-light": {
-       "repo": "lilylilith/QIE-2511-MP-AnyLight",
-       "weights": "QIE-2511-AnyLight_.safetensors",
-       "adapter_name": "any-light"
-   }, 
-    "Studio-DeLight": {
-       "repo": "prithivMLmods/QIE-2511-Studio-DeLight",
-       "weights": "QIE-2511-Studio-DeLight-5000.safetensors",
-       "adapter_name": "studio-delight"
-   }, 
-    "Cinematic-FlatLog": {
-       "repo": "prithivMLmods/QIE-2511-Cinematic-FlatLog-Control",
-       "weights": "QIE-2511-Cinematic-FlatLog-Control-3200.safetensors",
-       "adapter_name": "flat-log"
-   },   
-}
-
-LOADED_ADAPTERS = set()
-
+
+MAX_SEED = np.iinfo(np.int32).max
+
+ADAPTER_SPECS = {
+    "Multiple-Angles": {
+        "repo": "dx8152/Qwen-Edit-2509-Multiple-angles",
+        "weights": "镜头转换.safetensors",
+        "adapter_name": "multiple-angles"
+    },
+    "Photo-to-Anime": {
+        "repo": "autoweeb/Qwen-Image-Edit-2509-Photo-to-Anime",
+        "weights": "Qwen-Image-Edit-2509-Photo-to-Anime_000001000.safetensors",
+        "adapter_name": "photo-to-anime"
+    },
+    "Anime-V2": {
+        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Anime",
+        "weights": "Qwen-Image-Edit-2511-Anime-2000.safetensors",
+        "adapter_name": "anime-v2"
+    },
+    "Light-Migration": {
+        "repo": "dx8152/Qwen-Edit-2509-Light-Migration",
+        "weights": "参考色调.safetensors",
+        "adapter_name": "light-migration"
+    },
+    "Upscaler": {
+        "repo": "starsfriday/Qwen-Image-Edit-2511-Upscale2K",
+        "weights": "qwen_image_edit_2511_upscale.safetensors",
+        "adapter_name": "upscale-2k"
+    },
+    "Style-Transfer": {
+        "repo": "zooeyy/Style-Transfer",
+        "weights": "Style Transfer-Alpha-V0.1.safetensors",
+        "adapter_name": "style-transfer"
+    },
+    "Manga-Tone": {
+        "repo": "nappa114514/Qwen-Image-Edit-2509-Manga-Tone",
+        "weights": "tone001.safetensors",
+        "adapter_name": "manga-tone"
+    },
+    "Anything2Real": {
+        "repo": "lrzjason/Anything2Real_2601",
+        "weights": "anything2real_2601.safetensors",
+        "adapter_name": "anything2real"
+    },
+    "Fal-Multiple-Angles": {
+        "repo": "fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA",
+        "weights": "qwen-image-edit-2511-multiple-angles-lora.safetensors",
+        "adapter_name": "fal-multiple-angles"
+    },
+    "Polaroid-Photo": {
+        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Polaroid-Photo",
+        "weights": "Qwen-Image-Edit-2511-Polaroid-Photo.safetensors",
+        "adapter_name": "polaroid-photo"
+    },
+    "Unblur-Anything": {
+        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Unblur-Upscale",
+        "weights": "Qwen-Image-Edit-Unblur-Upscale_15.safetensors",
+        "adapter_name": "unblur-anything"
+    },
+    "Midnight-Noir-Eyes-Spotlight": {
+        "repo": "prithivMLmods/Qwen-Image-Edit-2511-Midnight-Noir-Eyes-Spotlight",
+        "weights": "Qwen-Image-Edit-2511-Midnight-Noir-Eyes-Spotlight.safetensors",
+        "adapter_name": "midnight-noir-eyes-spotlight"
+    },
+    "Hyper-Realistic-Portrait": {
+       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Hyper-Realistic-Portrait",
+       "weights": "HRP_20.safetensors",
+       "adapter_name": "hyper-realistic-portrait"
+   },     
+    "Ultra-Realistic-Portrait": {
+       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Ultra-Realistic-Portrait",
+       "weights": "URP_20.safetensors",
+       "adapter_name": "ultra-realistic-portrait"
+   },     
+    "Pixar-Inspired-3D": {
+       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Pixar-Inspired-3D",
+       "weights": "PI3_20.safetensors",
+       "adapter_name": "pi3"
+   },
+    "Noir-Comic-Book": {
+       "repo": "prithivMLmods/Qwen-Image-Edit-2511-Noir-Comic-Book-Panel",
+       "weights": "Noir-Comic-Book-Panel_20.safetensors",
+       "adapter_name": "ncb"
+   },  
+    "Any-light": {
+       "repo": "lilylilith/QIE-2511-MP-AnyLight",
+       "weights": "QIE-2511-AnyLight_.safetensors",
+       "adapter_name": "any-light"
+   }, 
+    "Studio-DeLight": {
+       "repo": "prithivMLmods/QIE-2511-Studio-DeLight",
+       "weights": "QIE-2511-Studio-DeLight-5000.safetensors",
+       "adapter_name": "studio-delight"
+   }, 
+    "Cinematic-FlatLog": {
+       "repo": "prithivMLmods/QIE-2511-Cinematic-FlatLog-Control",
+       "weights": "QIE-2511-Cinematic-FlatLog-Control-3200.safetensors",
+       "adapter_name": "flat-log"
+   },   
+}
+
+LOADED_ADAPTERS = set()
+
 def update_dimensions_on_upload(image):
-    if image is None:
-        return 1024, 1024
-    
-    original_width, original_height = image.size
-    
-    if original_width > original_height:
-        new_width = 1024
-        aspect_ratio = original_height / original_width
-        new_height = int(new_width * aspect_ratio)
-    else:
-        new_height = 1024
-        aspect_ratio = original_width / original_height
-        new_width = int(new_height * aspect_ratio)
-        
-    new_width = (new_width // 8) * 8
-    new_height = (new_height // 8) * 8
+    if image is None:
+        return 1024, 1024
+    
+    original_width, original_height = image.size
+    if original_width <= 0 or original_height <= 0:
+        return 1024, 1024
+
+    # Keep roughly a 1MP canvas while preserving the source aspect ratio.
+    # The old long-side=1024 rule shrank portrait/wide photos too aggressively.
+    target_area = 1024 * 1024
+    max_side = 1536
+    aspect_ratio = original_width / original_height
+    new_width = int((target_area * aspect_ratio) ** 0.5)
+    new_height = int(new_width / aspect_ratio)
+
+    if max(new_width, new_height) > max_side:
+        scale = max_side / max(new_width, new_height)
+        new_width = int(new_width * scale)
+        new_height = int(new_height * scale)
+
+    new_width = max(64, (new_width // 32) * 32)
+    new_height = max(64, (new_height // 32) * 32)
     
     return new_width, new_height
 
@@ -241,22 +247,22 @@ def get_qwen_gpu_duration(*args, **kwargs):
 
 @spaces.GPU(duration=get_qwen_gpu_duration)
 def infer(
-    images,
-    prompt,
-    lora_adapter,
-    seed,
-    randomize_seed,
-    guidance_scale,
-    steps,
-    progress=gr.Progress(track_tqdm=True)
-):
-    gc.collect()
-    torch.cuda.empty_cache()
-
-    if not images:
-        raise gr.Error("Please upload at least one image to edit.")
-
-    pil_images = []
+    images,
+    prompt,
+    lora_adapter,
+    seed,
+    randomize_seed,
+    guidance_scale,
+    steps,
+    progress=gr.Progress(track_tqdm=True)
+):
+    gc.collect()
+    torch.cuda.empty_cache()
+
+    if not images:
+        raise gr.Error("Please upload at least one image to edit.")
+
+    pil_images = []
     if images is not None:
         if isinstance(images, (str, Image.Image, dict)) or hasattr(images, "name"):
             images = [images]
@@ -272,106 +278,106 @@ def infer(
                     path_or_img = item
 
                 if isinstance(path_or_img, str):
-                    pil_images.append(Image.open(path_or_img).convert("RGB"))
+                    pil_images.append(ImageOps.exif_transpose(Image.open(path_or_img)).convert("RGB"))
                 elif isinstance(path_or_img, Image.Image):
-                    pil_images.append(path_or_img.convert("RGB"))
+                    pil_images.append(ImageOps.exif_transpose(path_or_img).convert("RGB"))
                 elif hasattr(path_or_img, "path"):
-                    pil_images.append(Image.open(path_or_img.path).convert("RGB"))
+                    pil_images.append(ImageOps.exif_transpose(Image.open(path_or_img.path)).convert("RGB"))
                 else:
-                    pil_images.append(Image.open(path_or_img.name).convert("RGB"))
-            except Exception as e:
-                print(f"Skipping invalid image item: {e}")
-                continue
-
-    if not pil_images:
-        raise gr.Error("Could not process uploaded images.")
-
-    spec = ADAPTER_SPECS.get(lora_adapter)
-    if not spec:
-        raise gr.Error(f"Configuration not found for: {lora_adapter}")
-
-    adapter_name = spec["adapter_name"]
-
-    if adapter_name not in LOADED_ADAPTERS:
-        print(f"--- Downloading and Loading Adapter: {lora_adapter} ---")
-        try:
-            pipe.load_lora_weights(
-                spec["repo"], 
-                weight_name=spec["weights"], 
-                adapter_name=adapter_name
-            )
-            LOADED_ADAPTERS.add(adapter_name)
-        except Exception as e:
-            raise gr.Error(f"Failed to load adapter {lora_adapter}: {e}")
-    else:
-        print(f"--- Adapter {lora_adapter} is already loaded. ---")
-
-    pipe.set_adapters([adapter_name], adapter_weights=[1.0])
-
-    if randomize_seed:
-        seed = random.randint(0, MAX_SEED)
-
-    generator = torch.Generator(device=device).manual_seed(seed)
-    negative_prompt = "worst quality, low quality, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry"
-
-    width, height = update_dimensions_on_upload(pil_images[0])
-
-    try:
-        result_image = pipe(
-            image=pil_images,
-            prompt=prompt,
-            negative_prompt=negative_prompt,
-            height=height,
-            width=width,
-            num_inference_steps=steps,
-            generator=generator,
-            true_cfg_scale=guidance_scale,
-        ).images[0]
-        
-        return result_image, seed
-
-    except Exception as e:
-        raise e
-    finally:
-        gc.collect()
-        torch.cuda.empty_cache()
-
+                    pil_images.append(ImageOps.exif_transpose(Image.open(path_or_img.name)).convert("RGB"))
+            except Exception as e:
+                print(f"Skipping invalid image item: {e}")
+                continue
+
+    if not pil_images:
+        raise gr.Error("Could not process uploaded images.")
+
+    spec = ADAPTER_SPECS.get(lora_adapter)
+    if not spec:
+        raise gr.Error(f"Configuration not found for: {lora_adapter}")
+
+    adapter_name = spec["adapter_name"]
+
+    if adapter_name not in LOADED_ADAPTERS:
+        print(f"--- Downloading and Loading Adapter: {lora_adapter} ---")
+        try:
+            pipe.load_lora_weights(
+                spec["repo"], 
+                weight_name=spec["weights"], 
+                adapter_name=adapter_name
+            )
+            LOADED_ADAPTERS.add(adapter_name)
+        except Exception as e:
+            raise gr.Error(f"Failed to load adapter {lora_adapter}: {e}")
+    else:
+        print(f"--- Adapter {lora_adapter} is already loaded. ---")
+
+    pipe.set_adapters([adapter_name], adapter_weights=[1.0])
+
+    if randomize_seed:
+        seed = random.randint(0, MAX_SEED)
+
+    generator = torch.Generator(device=device).manual_seed(seed)
+    negative_prompt = "worst quality, low quality, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry"
+
+    width, height = update_dimensions_on_upload(pil_images[0])
+
+    try:
+        result_image = pipe(
+            image=pil_images,
+            prompt=prompt,
+            negative_prompt=negative_prompt,
+            height=height,
+            width=width,
+            num_inference_steps=steps,
+            generator=generator,
+            true_cfg_scale=guidance_scale,
+        ).images[0]
+        
+        return result_image, seed
+
+    except Exception as e:
+        raise e
+    finally:
+        gc.collect()
+        torch.cuda.empty_cache()
+
 @spaces.GPU(duration=get_qwen_gpu_duration)
 def infer_example(images, prompt, lora_adapter):
-    if not images:
-        return None, 0
-    
-    if isinstance(images, str):
-        images_list = [images]
-    else:
-        images_list = images
-        
-    result, seed = infer(
-        images=images_list,
-        prompt=prompt,
-        lora_adapter=lora_adapter,
-        seed=0,
-        randomize_seed=True,
-        guidance_scale=1.0,
-        steps=4
-    )
-    return result, seed
-
-css="""
-#col-container {
-    margin: 0 auto;
-    max-width: 1000px;
-}
-#main-title h1 {font-size: 2.4em !important;}
-"""
-
-with gr.Blocks() as demo:
-    with gr.Column(elem_id="col-container"):
-        gr.Markdown("# **Qwen-Image-Edit-2511-LoRAs-Fast**", elem_id="main-title")
-        gr.Markdown("Perform diverse image edits using specialized [LoRA](https://huggingface.co/models?other=base_model:adapter:Qwen/Qwen-Image-Edit-2511) adapters. Open on [GitHub](https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-2511-LoRAs-Fast-Lazy-Load).")
-
-        with gr.Row(equal_height=True):
-            with gr.Column():
+    if not images:
+        return None, 0
+    
+    if isinstance(images, str):
+        images_list = [images]
+    else:
+        images_list = images
+        
+    result, seed = infer(
+        images=images_list,
+        prompt=prompt,
+        lora_adapter=lora_adapter,
+        seed=0,
+        randomize_seed=True,
+        guidance_scale=1.0,
+        steps=4
+    )
+    return result, seed
+
+css="""
+#col-container {
+    margin: 0 auto;
+    max-width: 1000px;
+}
+#main-title h1 {font-size: 2.4em !important;}
+"""
+
+with gr.Blocks() as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("# **Qwen-Image-Edit-2511-LoRAs-Fast**", elem_id="main-title")
+        gr.Markdown("Perform diverse image edits using specialized [LoRA](https://huggingface.co/models?other=base_model:adapter:Qwen/Qwen-Image-Edit-2511) adapters. Open on [GitHub](https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-2511-LoRAs-Fast-Lazy-Load).")
+
+        with gr.Row(equal_height=True):
+            with gr.Column():
                 images = gr.File(
                     label="Upload Images",
                     file_count="multiple",
@@ -379,68 +385,68 @@ with gr.Blocks() as demo:
                     file_types=["image"],
                     height=300,
                 )
-                
-                prompt = gr.Text(
-                    label="Edit Prompt",
-                    #max_lines=1,
-                    show_label=True,
-                    placeholder="e.g., transform into anime..",
-                )
-
-                run_button = gr.Button("Edit Image", variant="primary")
-
-            with gr.Column():
-                output_image = gr.Image(label="Output Image", interactive=False, format="png", height=365)
-                
-                with gr.Row():
-                    lora_adapter = gr.Dropdown(
-                        label="Choose Editing Style",
-                        choices=list(ADAPTER_SPECS.keys()),
-                        value="Photo-to-Anime"
-                    )
-                
-                with gr.Accordion("Advanced Settings", open=False, visible=False):
-                    seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
-                    randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-                    guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
-                    steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
-        
-        gr.Examples(
-            examples=[
-                [["examples/B.jpg"], "Transform into anime.", "Photo-to-Anime"],
-                [["examples/HRP.jpg"], "Transform into a hyper-realistic face portrait.", "Hyper-Realistic-Portrait"],
-                [["examples/A.jpeg"], "Rotate the camera 45 degrees to the right.", "Multiple-Angles"],
-                [["examples/U.jpg"], "Upscale this picture to 4K resolution.", "Upscaler"],
-                [["examples/L1.jpg", "examples/L2.jpg"], "Apply the lighting from image 2 to image 1.", "Any-light"],
-                [["examples/PP1.jpg"], "cinematic polaroid with soft grain subtle vignette gentle lighting white frame handwritten photographed by hf‪‪‬ preserving realistic texture and details", "Polaroid-Photo"],
-                [["examples/Z1.jpg"], "Front-right quarter view.", "Fal-Multiple-Angles"],
-                [["examples/URP.jpg"], "Transform into a cinematic flat log.", "Cinematic-FlatLog"],
-                [["examples/SL.jpg"], "Neutral uniform lighting Preserve identity and composition.", "Studio-DeLight"],
-                [["examples/PI.jpg"], "Transform it into Pixar-inspired 3D.", "Pixar-Inspired-3D"],
-                [["examples/MT.jpg"], "Paint with manga tone.", "Manga-Tone"],
-                [["examples/NCB.jpg"], "Transform into a noir comic book style.", "Noir-Comic-Book"],
-                [["examples/URP.jpg"], "ultra-realistic portrait.", "Ultra-Realistic-Portrait"],
-                [["examples/MN.jpg"], "Transform into Midnight Noir Eyes Spotlight.", "Midnight-Noir-Eyes-Spotlight"],
-                [["examples/ST1.jpg", "examples/ST2.jpg"], "Convert Image 1 to the style of Image 2.", "Style-Transfer"],
-                [["examples/R1.jpg"], "Change the picture to realistic photograph.", "Anything2Real"],
-                [["examples/UA.jpeg"], "Unblur and upscale.", "Unblur-Anything"],
-                [["examples/L1.jpg", "examples/L2.jpg"], "Refer to the color tone, remove the original lighting from Image 1, and relight Image 1 based on the lighting and color tone of Image 2.", "Light-Migration"],
-                [["examples/P1.jpg"], "Transform into anime (while preserving the background and remaining elements maintaining realism and original details.)", "Anime-V2"],
-            ],
-            inputs=[images, prompt, lora_adapter],
-            outputs=[output_image, seed],
-            fn=infer_example,
-            cache_examples=False,
-            label="Examples"
-        )
-        
-        gr.Markdown("[*](https://huggingface.co/spaces/prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast)This is still an experimental Space for Qwen-Image-Edit-2511.")
-
-    run_button.click(
-        fn=infer,
-        inputs=[images, prompt, lora_adapter, seed, randomize_seed, guidance_scale, steps],
-        outputs=[output_image, seed]
-    )
-
-if __name__ == "__main__":
+                
+                prompt = gr.Text(
+                    label="Edit Prompt",
+                    #max_lines=1,
+                    show_label=True,
+                    placeholder="e.g., transform into anime..",
+                )
+
+                run_button = gr.Button("Edit Image", variant="primary")
+
+            with gr.Column():
+                output_image = gr.Image(label="Output Image", interactive=False, format="png", height=365)
+                
+                with gr.Row():
+                    lora_adapter = gr.Dropdown(
+                        label="Choose Editing Style",
+                        choices=list(ADAPTER_SPECS.keys()),
+                        value="Photo-to-Anime"
+                    )
+                
+                with gr.Accordion("Advanced Settings", open=False, visible=False):
+                    seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
+                    randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
+                    guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
+                    steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
+        
+        gr.Examples(
+            examples=[
+                [["examples/B.jpg"], "Transform into anime.", "Photo-to-Anime"],
+                [["examples/HRP.jpg"], "Transform into a hyper-realistic face portrait.", "Hyper-Realistic-Portrait"],
+                [["examples/A.jpeg"], "Rotate the camera 45 degrees to the right.", "Multiple-Angles"],
+                [["examples/U.jpg"], "Upscale this picture to 4K resolution.", "Upscaler"],
+                [["examples/L1.jpg", "examples/L2.jpg"], "Apply the lighting from image 2 to image 1.", "Any-light"],
+                [["examples/PP1.jpg"], "cinematic polaroid with soft grain subtle vignette gentle lighting white frame handwritten photographed by hf‪‪‬ preserving realistic texture and details", "Polaroid-Photo"],
+                [["examples/Z1.jpg"], "Front-right quarter view.", "Fal-Multiple-Angles"],
+                [["examples/URP.jpg"], "Transform into a cinematic flat log.", "Cinematic-FlatLog"],
+                [["examples/SL.jpg"], "Neutral uniform lighting Preserve identity and composition.", "Studio-DeLight"],
+                [["examples/PI.jpg"], "Transform it into Pixar-inspired 3D.", "Pixar-Inspired-3D"],
+                [["examples/MT.jpg"], "Paint with manga tone.", "Manga-Tone"],
+                [["examples/NCB.jpg"], "Transform into a noir comic book style.", "Noir-Comic-Book"],
+                [["examples/URP.jpg"], "ultra-realistic portrait.", "Ultra-Realistic-Portrait"],
+                [["examples/MN.jpg"], "Transform into Midnight Noir Eyes Spotlight.", "Midnight-Noir-Eyes-Spotlight"],
+                [["examples/ST1.jpg", "examples/ST2.jpg"], "Convert Image 1 to the style of Image 2.", "Style-Transfer"],
+                [["examples/R1.jpg"], "Change the picture to realistic photograph.", "Anything2Real"],
+                [["examples/UA.jpeg"], "Unblur and upscale.", "Unblur-Anything"],
+                [["examples/L1.jpg", "examples/L2.jpg"], "Refer to the color tone, remove the original lighting from Image 1, and relight Image 1 based on the lighting and color tone of Image 2.", "Light-Migration"],
+                [["examples/P1.jpg"], "Transform into anime (while preserving the background and remaining elements maintaining realism and original details.)", "Anime-V2"],
+            ],
+            inputs=[images, prompt, lora_adapter],
+            outputs=[output_image, seed],
+            fn=infer_example,
+            cache_examples=False,
+            label="Examples"
+        )
+        
+        gr.Markdown("[*](https://huggingface.co/spaces/prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast)This is still an experimental Space for Qwen-Image-Edit-2511.")
+
+    run_button.click(
+        fn=infer,
+        inputs=[images, prompt, lora_adapter, seed, randomize_seed, guidance_scale, steps],
+        outputs=[output_image, seed]
+    )
+
+if __name__ == "__main__":
     demo.queue(max_size=30).launch(css=css, theme=orange_red_theme, mcp_server=True, ssr_mode=False, show_error=True)