Handles HEIC

app.py

@@ -8,8 +8,11 @@ import spaces
 
 from diffusers import AutoPipelineForImage2Image
 from PIL import Image, ImageFilter
+from pillow_heif import register_heif_opener
 
-max_64_bit_int = 2**63 - 1
+register_heif_opener()
+
+max_64_bit_int = np.iinfo(np.int32).max
 
 # Automatic device detection
 if torch.cuda.is_available():
@@ -209,7 +212,7 @@ with gr.Blocks() as interface:
         with gr.Accordion("Advanced options", open = False):
              negative_prompt = gr.Textbox(label = "Negative prompt", placeholder = "Describe what you do NOT want to see", value = "Ugly, malformed, noise, blur, watermark")
              num_inference_steps = gr.Slider(minimum = 10, maximum = 100, value = 25, step = 1, label = "Number of inference steps", info = "lower=faster, higher=image quality")
-             guidance_scale = gr.Slider(minimum = 1, maximum = 13, value = 7, step = 0.1, label = "Classifier-Free Guidance Scale", info = "lower=image quality, higher=follow the prompt")
+             guidance_scale = gr.Slider(minimum = 1, maximum = 13, value = 7, step = 0.1, label = "Guidance Scale", info = "lower=image quality, higher=follow the prompt")
              image_guidance_scale = gr.Slider(minimum = 1, value = 1.1, step = 0.1, label = "Image Guidance Scale", info = "lower=image quality, higher=follow the image")
              denoising_steps = gr.Slider(minimum = 0, maximum = 1000, value = 1000, step = 1, label = "Denoising", info = "lower=irrelevant result, higher=relevant result")
              randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed", value = True, info = "If checked, result is always different")