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README.md

@@ -1,16 +1,16 @@
----
-title: 872 AI Art Models Printing Press (Gradio 4.x)
-emoji: 👩‍🎨👨‍🎨
-colorFrom: red
-colorTo: green
-sdk: gradio
-sdk_version: 4.39.0
-app_file: app.py
-pinned: false
-duplicated_from:
-- Omnibus/maximum_multiplier_places
-- Yntec/PrintingPress
-short_description: Generate up to 6 images from 1 prompt!
----
-
+---
+title: 872 AI Art Models Printing Press (Gradio 5.x)
+emoji: 👩‍🎨👨‍🎨
+colorFrom: red
+colorTo: green
+sdk: gradio
+sdk_version: 5.0.1
+app_file: app.py
+pinned: false
+duplicated_from:
+- Omnibus/maximum_multiplier_places
+- Yntec/PrintingPress
+short_description: Generate up to 6 images from 1 prompt!
+---
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -101,7 +101,7 @@ css="""
 .output { width=128px; height=128px; !important; }
 .outputone { width=512px; height=512px; !important; }
 """
-with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=css) as demo:
+with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', fill_width=True, css=css) as demo:
     gr.HTML(
     """
         <div>
@@ -188,7 +188,7 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=css) as demo:
         with gr.Row():
             output2 = [gr.Image(label = '', show_download_button=True, elem_classes="output",
                                 interactive=False, min_width=80, visible=True, format="png",
-                                show_share_button=False, show_label=False) for _ in range(max_images)]
+                                show_share_button=False, show_label=False, width=128, height=128) for _ in range(max_images)]
 
         for i, o in enumerate(output2):
             img_i = gr.Number(i, visible=False)
@@ -208,5 +208,5 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=css) as demo:
     """
 )
 
-demo.queue(default_concurrency_limit=200, max_size=200)                        
+#demo.queue(default_concurrency_limit=200, max_size=200)                        
 demo.launch(show_api=False, max_threads=400)

externalmod.py

@@ -583,3 +583,30 @@ def find_model_list(author: str="", tags: list[str]=[], not_tag="", sort: str="l
            models.append(model.id)
            if len(models) == limit: break
     return models
+
+
+def save_image(image, savefile, modelname, prompt, nprompt, height=0, width=0, steps=0, cfg=0, seed=-1):
+    from PIL import Image, PngImagePlugin
+    import json
+    try:
+        metadata = {"prompt": prompt, "negative_prompt": nprompt, "Model": {"Model": modelname.split("/")[-1]}}
+        if steps > 0: metadata["num_inference_steps"] = steps
+        if cfg > 0: metadata["guidance_scale"] = cfg
+        if seed != -1: metadata["seed"] = seed
+        if width > 0 and height > 0: metadata["resolution"] = f"{width} x {height}"
+        metadata_str = json.dumps(metadata)
+        info = PngImagePlugin.PngInfo()
+        info.add_text("metadata", metadata_str)
+        image.save(savefile, "PNG", pnginfo=info)
+        return str(Path(savefile).resolve())
+    except Exception as e:
+        print(f"Failed to save image file: {e}")
+        raise Exception(f"Failed to save image file:") from e
+
+
+def randomize_seed():
+    from random import seed, randint
+    MAX_SEED = 2**32-1
+    seed()
+    rseed = randint(0, MAX_SEED)
+    return rseed