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README.md

@@ -4,10 +4,9 @@ emoji: 🔍🕵️
 colorFrom: pink
 colorTo: pink
 sdk: gradio
-sdk_version: 5.5.0
+sdk_version: 5.23.1
 app_file: app.py
 pinned: false
-suggested_hardware: t4-medium
 disable_embedding: true
 short_description: Creative Upscaler High-Res Image Generation HiDiffusion SDXL
 ---

app.py

@@ -59,9 +59,9 @@ compel = Compel(
     requires_pooled=[False, True],
 )
 pipe = pipe.to(device)
+apply_hidiffusion(pipe)
 
 if not IS_SPACES_ZERO:
-    apply_hidiffusion(pipe)
     # pipe.enable_xformers_memory_efficient_attention()
     pipe.enable_model_cpu_offload()
 pipe.enable_vae_tiling()
@@ -105,8 +105,8 @@ def predict(
     intensity_threshold=3,
     progress=gr.Progress(track_tqdm=True),
 ):
-    if IS_SPACES_ZERO:
-        apply_hidiffusion(pipe)
+    #if IS_SPACES_ZERO:
+    #    apply_hidiffusion(pipe)
     if input_image is None:
         raise gr.Error("Please upload an image.")
     padded_image = pad_image(input_image).resize((1024, 1024)).convert("RGB")
@@ -138,8 +138,10 @@ def predict(
         guidance_scale=guidance_scale,
         eta=1.0,
     )
+    output_image = images.images[0]
     print(f"Time taken: {time.time() - last_time}")
-    return (padded_image, images.images[0]), padded_image, anyline_image
+    return output_image, padded_image, anyline_image
+    #return (padded_image, output_image), padded_image, anyline_image # for ImageSlider
 
 
 css = """
@@ -249,7 +251,8 @@ SDXL Controlnet [TheMistoAI/MistoLine](https://huggingface.co/TheMistoAI/MistoLi
             btn = gr.Button()
         with gr.Column(scale=2):
             with gr.Group():
-                image_slider = ImageSlider(position=0.5)
+                #image_slider = ImageSlider(position=0.5, type="pil") # broken...
+                image_slider = gr.Image(type="pil", label="Output Image")
             with gr.Row():
                 padded_image = gr.Image(type="pil", label="Padded Image")
                 anyline_image = gr.Image(type="pil", label="Anyline Image")
@@ -361,9 +364,10 @@ SDXL Controlnet [TheMistoAI/MistoLine](https://huggingface.co/TheMistoAI/MistoLi
                 3,
             ],
         ],
-        cache_examples="lazy",
+        cache_examples=True,
+        cache_mode='lazy',
     )
 
 
 demo.queue(api_open=False)
-demo.launch(show_api=False)
+demo.launch(show_api=False, ssr_mode=False)

requirements.txt

@@ -1,22 +1,22 @@
-gradio==5.5.0
-accelerate
-transformers
-torchvision
-xformers
-accelerate
-invisible-watermark
+#spaces
+#xformers
+#gradio==5.5.0
+#huggingface-hub==0.25.2
 huggingface-hub
 hf-transfer
-gradio_imageslider==0.0.20
-compel
-opencv-python
-numpy
-diffusers==0.27.0
+hf-xet
+torch==2.2
+torchvision
+numpy<2
 transformers
+diffusers<=0.32.2
 accelerate
 safetensors
+invisible-watermark
+compel
+opencv-python
 hidiffusion==0.1.8
-spaces
-torch==2.2
 controlnet-aux @ git+https://github.com/huggingface/controlnet_aux
-numpy<2
+mediapipe
+pydantic<=2.10.6
+gradio_imageslider>=0.0.20