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John6666 commited on 27 days ago

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2b41d09

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1 Parent(s): 8f9f1c4

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app.py +203 -156

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@@ -1,159 +1,206 @@
 import gradio as gr
-import os
-import sys
-from pathlib import Path
 from all_models import models
 from externalmod import gr_Interface_load
-from prompt_extend import extend_prompt
-text_gen1 = extend_prompt
-current_model = models[0]
-#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")
-models2 = [gr_Interface_load(f"models/{m}",live=False, preprocess=True, postprocess=False) for m in models]
-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)

 import gradio as gr
+from random import randint
 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.
+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})
+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)
+    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()