Upload app.py

app.py

@@ -1,206 +1,165 @@
 import gradio as gr
-from random import randint
+import os 
+import sys
+from pathlib import Path
 from all_models import models
 from externalmod import gr_Interface_load
-import asyncio
-import os
-from threading import RLock
-lock = RLock()
-HF_TOKEN = os.environ.get("HF_TOKEN") if os.environ.get("HF_TOKEN") else None # If private or gated models aren't used, ENV setting is unnecessary.
+from prompt_extend import extend_prompt
 
+text_gen1 = extend_prompt
+current_model = models[0]
 
-def load_fn(models):
-    global models_load
-    models_load = {}
-    for model in models:
-        if model not in models_load.keys():
-            try:
-                m = gr_Interface_load(f'models/{model}', hf_token=HF_TOKEN)
-            except Exception as error:
-                print(error)
-                m = gr.Interface(lambda: None, ['text'], ['image'])
-            models_load.update({model: m})
+#text_gen1=gr.Interface.load("spaces/phenomenon1981/MagicPrompt-Stable-Diffusion") 
+#text_gen1=gr.Interface.load("spaces/Yntec/prompt-extend") 
+#text_gen1=gr.Interface.load("spaces/daspartho/prompt-extend") 
+#text_gen1=gr.Interface.load("spaces/Omnibus/MagicPrompt-Stable-Diffusion_link")
 
-
-load_fn(models)
-
-
-num_models = 6
-max_images = 6
-inference_timeout = 300
-default_models = models[:num_models]
-MAX_SEED = 2**32-1
-
-
-def extend_choices(choices):
-    return choices[:num_models] + (num_models - len(choices[:num_models])) * ['NA']
-
-
-def update_imgbox(choices):
-    choices_plus = extend_choices(choices[:num_models])
-    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
-
-
-def random_choices():
-    import random
-    random.seed()
-    return random.choices(models, k = num_models)
-
-
-# https://huggingface.co/docs/api-inference/detailed_parameters
-# https://huggingface.co/docs/huggingface_hub/package_reference/inference_client
-async def infer(model_str, prompt, nprompt="", height=None, width=None, steps=None, cfg=None, seed=-1, timeout=inference_timeout):
-    from pathlib import Path
-    kwargs = {}
-    if height is not None and height >= 256: kwargs["height"] = height
-    if width is not None and width >= 256: kwargs["width"] = width
-    if steps is not None and steps >= 1: kwargs["num_inference_steps"] = steps
-    if cfg is not None and cfg > 0: cfg = kwargs["guidance_scale"] = cfg
-    noise = ""
-    if seed >= 0: kwargs["seed"] = seed
-    else:
-        rand = randint(1, 500)
-        for i in range(rand):
-            noise += " "
-    task = asyncio.create_task(asyncio.to_thread(models_load[model_str].fn,
-                               prompt=f'{prompt} {noise}', negative_prompt=nprompt, **kwargs, token=HF_TOKEN))
-    await asyncio.sleep(0)
+models2 = []
+for model in models:
     try:
-        result = await asyncio.wait_for(task, timeout=timeout)
-    except (Exception, asyncio.TimeoutError) as e:
-        print(e)
-        print(f"Task timed out: {model_str}")
-        if not task.done(): task.cancel()
-        result = None
-    if task.done() and result is not None:
-        with lock:
-            png_path = "image.png"
-            result.save(png_path)
-            image = str(Path(png_path).resolve())
-        return image
-    return None
-
-
-def gen_fn(model_str, prompt, nprompt="", height=None, width=None, steps=None, cfg=None, seed=-1):
-    if model_str == 'NA':
-        return None
-    try:
-        loop = asyncio.new_event_loop()
-        result = loop.run_until_complete(infer(model_str, prompt, nprompt,
-                                         height, width, steps, cfg, seed, inference_timeout))
-    except (Exception, asyncio.CancelledError) as e:
-        print(e)
-        print(f"Task aborted: {model_str}")
-        result = None
-    finally:
-        loop.close()
-    return result
-
-
-def add_gallery(image, model_str, gallery):
-    if gallery is None: gallery = []
-    with lock:
-        if image is not None: gallery.insert(0, (image, model_str))
-    return gallery
-
-
-CSS="""
-#container { max-width: 1200px; margin: 0 auto; !important; }
-.output { width=112px; height=112px; !important; }
-.gallery { width=100%; min_height=768px; !important; }
-.guide { text-align: center; !important; }
-"""
-
-with gr.Blocks(theme='Nymbo/Nymbo_Theme', fill_width=True, css=CSS) as demo:
-    with gr.Tab('The Dream'):
-        with gr.Column(scale=2):
-            with gr.Group():
-                txt_input = gr.Textbox(label='Your prompt:', lines=4)
-                neg_input = gr.Textbox(label='Negative prompt:', lines=1)
-                with gr.Accordion("Advanced", open=False, visible=True):
-                    with gr.Row():
-                        width = gr.Number(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
-                        height = gr.Number(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
-                    with gr.Row():
-                        steps = gr.Number(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
-                        cfg = gr.Number(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
-                        seed = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
-            with gr.Row():
-                gen_button = gr.Button(f'Generate up to {int(num_models)} images in up to 3 minutes total', scale=3)
-                random_button = gr.Button(f'Random {int(num_models)} 🎲', variant='secondary', scale=1)
-                stop_button = gr.Button('Stop', variant='secondary', interactive=False, scale=1)
-                gen_button.click(lambda: gr.update(interactive=True), None, stop_button)
-            gr.Markdown("Scroll down to see more images and select models.", elem_classes="guide")
-
-        with gr.Column(scale=1):
-            with gr.Group():
-                with gr.Row():
-                    output = [gr.Image(label=m, show_download_button=True, elem_classes="output",
-                              interactive=False, min_width=80, show_share_button=False, format=".png",
-                              visible=True) for m in default_models]
-                    current_models = [gr.Textbox(m, visible=False) for m in default_models]
-
-        with gr.Column(scale=2):
-            gallery = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery",
-                                interactive=False, show_share_button=True, container=True, format="png",
-                                preview=True, object_fit="cover", columns=2, rows=2) 
-
-        for m, o in zip(current_models, output):
-            gen_event = gr.on(triggers=[gen_button.click, txt_input.submit], fn=gen_fn,
-                              inputs=[m, txt_input, neg_input, height, width, steps, cfg, seed], outputs=[o])
-            o.change(add_gallery, [o, m, gallery], [gallery])
-            stop_button.click(lambda: gr.update(interactive=False), None, stop_button, cancels=[gen_event])
-
-        with gr.Column(scale=4):
-            with gr.Accordion('Model selection'):
-                model_choice = gr.CheckboxGroup(models, label = f'Choose up to {int(num_models)} different models from the {len(models)} available!', value=default_models, interactive=True)
-                model_choice.change(update_imgbox, model_choice, output)
-                model_choice.change(extend_choices, model_choice, current_models)
-                random_button.click(random_choices, None, model_choice)
-
-    with gr.Tab('Single model'):
-        with gr.Column(scale=2):
-            model_choice2 = gr.Dropdown(models, label='Choose model', value=models[0])
-            with gr.Group():
-                txt_input2 = gr.Textbox(label='Your prompt:', lines=4)
-                neg_input2 = gr.Textbox(label='Negative prompt:', lines=1)
-                with gr.Accordion("Advanced", open=False, visible=True):
-                    with gr.Row():
-                        width2 = gr.Number(label="Width", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
-                        height2 = gr.Number(label="Height", info="If 0, the default value is used.", maximum=1216, step=32, value=0)
-                    with gr.Row():
-                        steps2 = gr.Number(label="Number of inference steps", info="If 0, the default value is used.", maximum=100, step=1, value=0)
-                        cfg2 = gr.Number(label="Guidance scale", info="If 0, the default value is used.", maximum=30.0, step=0.1, value=0)
-                        seed2 = gr.Slider(label="Seed", info="Randomize Seed if -1.", minimum=-1, maximum=MAX_SEED, step=1, value=-1)
-            num_images = gr.Slider(1, max_images, value=max_images, step=1, label='Number of images')
-            with gr.Row():
-                gen_button2 = gr.Button('Generate', scale=2)
-                stop_button2 = gr.Button('Stop', variant='secondary', interactive=False, scale=1)
-                gen_button2.click(lambda: gr.update(interactive=True), None, stop_button2)
-
-        with gr.Column(scale=1):
-            with gr.Group():
-                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)]
-
-        with gr.Column(scale=2):
-            gallery2 = gr.Gallery(label="Output", show_download_button=True, elem_classes="gallery",
-                                interactive=False, show_share_button=True, container=True, format="png",
-                                preview=True, object_fit="cover", columns=2, rows=2) 
-
-        for i, o in enumerate(output2):
-            img_i = gr.Number(i, visible = False)
-            num_images.change(lambda i, n: gr.update(visible = (i < n)), [img_i, num_images], o)
-            gen_event2 = gr.on(triggers=[gen_button2.click, txt_input2.submit],
-                               fn=lambda i, n, m, t1, t2, n1, n2, n3, n4, n5: gen_fn(m, t1, t2, n1, n2, n3, n4, n5) if (i < n) else None,
-                               inputs=[img_i, num_images, model_choice2, txt_input2, neg_input2,
-                                       height2, width2, steps2, cfg2, seed2], outputs=[o])
-            o.change(add_gallery, [o, model_choice2, gallery2], [gallery2])
-            stop_button2.click(lambda: gr.update(interactive=False), None, stop_button2, cancels=[gen_event2])
-
-    gr.Markdown("Based on the [TestGen](https://huggingface.co/spaces/derwahnsinn/TestGen) Space by derwahnsinn, the [SpacIO](https://huggingface.co/spaces/RdnUser77/SpacIO_v1) Space by RdnUser77 and Omnibus's Maximum Multiplier!")
-
-demo.queue()
-demo.launch()
+        models2.append(gr_Interface_load(f'models/{model}'))
+    except Exception as error:
+        print(error)
+        models2.append(gr.Interface(lambda: None, ['text'], ['image']))
+
+def text_it1(inputs,text_gen1=text_gen1):
+        go_t1=text_gen1(inputs)
+        return(go_t1)
+
+def set_model(current_model):
+    current_model = models[current_model]
+    return gr.update(label=(f"{current_model}"))
+
+def send_it1(inputs, model_choice): #negative_prompt,
+        proc1=models2[model_choice]
+        output1=proc1(inputs)
+        #negative_prompt=negative_prompt
+        return(output1)
+
+css=""""""
+
+with gr.Blocks(css=css) as myface:
+    gr.HTML("""
+     <div style="text-align: center; max-width: 1200px; margin: 0 auto;">
+              <div>
+                <style>
+                    h1 {
+                    font-size: 6em;
+                    color: #ffc99f;
+                    margin-top: 30px;
+                    margin-bottom: 30px;
+                    text-shadow: 3px 3px 0 rgba(0, 0, 0, 1) !important;
+                   }
+                   h3 {
+                    color: #ffc99f; !important;
+                   }
+                   h4 {
+                    display: inline-block;
+                    color: #ffffff !important;
+                   }
+                   .wrapper img {
+                    font-size: 98% !important;
+                    white-space: nowrap !important;
+                    text-align: center !important;
+                    display: inline-block !important;
+                    color: #ffffff !important;
+                   }
+                   .wrapper {
+                    color: #ffffff !important;
+                   }
+                   .gradio-container {
+                   background-image: linear-gradient(#254150, #1e2f40, #182634) !important;
+                   color: #ffaa66 !important;
+                   font-family: 'IBM Plex Sans', sans-serif !important;
+                   }
+                   .text-gray-500 {
+                   color: #ffc99f !important;
+                   }
+                   .gr-box {
+    background-image: linear-gradient(#182634, #1e2f40, #254150) !important;
+    border-top-color: #000000 !important;
+    border-right-color: #ffffff !important;
+    border-bottom-color: #ffffff !important;
+    border-left-color: #000000 !important;
+                   }
+                   .gr-input {
+                   color: #ffc99f; !important;
+                   background-color: #254150 !important;
+                   }
+                   :root {
+    --neutral-100: #000000 !important;
+                   }
+                </style>
+                <body>
+                <div class="center"><h1>Blitz Diffusion</h1>
+                </div>
+                </body>
+              </div>
+              <p style="margin-bottom: 1px; color: #ffaa66;">
+              <h3>899 Stable Diffusion models, but why? For your enjoyment!</h3></p>
+              <br><div class="wrapper">9.3 <img src="https://huggingface.co/Yntec/DucHaitenLofi/resolve/main/NEW.webp" alt="NEW!" style="width:32px;height:16px;">This has become a legacy backup copy of old <u><a href="https://huggingface.co/spaces/Yntec/ToyWorld">ToyWorld</a></u>'s UI! Newer models added dailty over there! 25 new models since last update!</div>
+              <p style="margin-bottom: 1px; font-size: 98%">
+              <br><h4>If a model is already loaded each new image takes less than <b>10</b> seconds to generate!</h4></p>
+              <p style="margin-bottom: 1px; color: #ffffff;">
+              <br><div class="wrapper">Generate 6 images from 1 prompt at the <u><a href="https://huggingface.co/spaces/Yntec/PrintingPress">PrintingPress</a></u>, and use 6 different models at <u><a href="https://huggingface.co/spaces/Yntec/diffusion80xx">Huggingface Diffusion!</a></u>!
+        </p></p>
+            </div>
+            """)
+    with gr.Row():
+        with gr.Column(scale=100):
+            #Model selection dropdown    
+            model_name1 = gr.Dropdown(label="Select Model", choices=[m for m in models], type="index", value=current_model, interactive=True)
+    with gr.Row():
+        with gr.Column(scale=100):
+            magic1 = gr.Textbox(label="Your Prompt", lines=4) #Positive
+        #with gr.Column(scale=100):
+            #negative_prompt=gr.Textbox(label="Negative Prompt", lines=1)
+            gr.HTML("""<style>           .gr-button {
+            color: #ffffff !important;
+            text-shadow: 1px 1px 0 rgba(0, 0, 0, 1) !important;
+            background-image: linear-gradient(#76635a, #d2a489) !important;
+            border-radius: 24px !important;
+            border: solid 1px !important;
+            border-top-color: #ffc99f !important;
+            border-right-color: #000000 !important;
+            border-bottom-color: #000000 !important;
+            border-left-color: #ffc99f !important;
+            padding: 6px 30px;
+}
+.gr-button:active {
+            color: #ffc99f !important;
+            font-size: 98% !important;
+            text-shadow: 0px 0px 0 rgba(0, 0, 0, 1) !important;
+            background-image: linear-gradient(#d2a489, #76635a) !important;
+            border-top-color: #000000 !important;
+            border-right-color: #ffffff !important;
+            border-bottom-color: #ffffff !important;
+            border-left-color: #000000 !important;
+}
+.gr-button:hover {
+  filter: brightness(130%);
+}
+</style>""")
+            run = gr.Button("Generate Image")
+    with gr.Row():
+        with gr.Column():
+            output1 = gr.Image(label=(f"{current_model}"))
+                
+    with gr.Row():
+        with gr.Column(scale=50):
+            input_text=gr.Textbox(label="Use this box to extend an idea automagically, by typing some words and clicking Extend Idea", lines=2)
+            see_prompts=gr.Button("Extend Idea -> overwrite the contents of the `Your Prompt´ box above")
+            use_short=gr.Button("Copy the contents of this box to the `Your Prompt´ box above")
+    def short_prompt(inputs):
+        return(inputs)
+    
+    model_name1.change(set_model, inputs=model_name1, outputs=[output1])
+    
+    run.click(send_it1, inputs=[magic1, model_name1], outputs=[output1])
+    
+    use_short.click(short_prompt,inputs=[input_text], outputs=magic1)
+    
+    see_prompts.click(text_it1,inputs=[input_text], outputs=magic1)
+    
+myface.queue()
+myface.launch(show_api=False)