Upload 4 files

README.md

@@ -0,0 +1,13 @@
+---
+title: Image_Gen
+emoji: 🚀
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 3.47.0
+app_file: app.py
+pinned: true
+short_description: generates 32multi/ 16single images
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

all_models.py

@@ -0,0 +1,27 @@
+models = [ 
+    "black-forest-labs/FLUX.1-dev",
+    "black-forest-labs/FLUX.1-schnell",
+    "XLabs-AI/flux-RealismLora",
+    "prithivMLmods/SD3.5-Turbo-Realism-2.0-LoRA",
+    "xey/sldr_flux_nsfw_v2-studio",
+    "aleksa-codes/flux-ghibsky-illustration",
+    "dataautogpt3/FLUX-SyntheticAnime",
+    "Shakker-Labs/FLUX.1-dev-LoRA-add-details",
+    "Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur",
+    "brushpenbob/flux-midjourney-anime",
+    "stabilityai/stable-diffusion-3.5-large",
+    "stabilityai/stable-diffusion-3.5-large-turbo",
+    "stabilityai/stable-diffusion-xl-base-1.0",
+    "Yntec/epiCPhotoGasm",
+    #"dataautogpt3/ProteusV0.2",
+    "dataautogpt3/OpenDalleV1.1",
+    "falanaja/Amateur-Photography",
+    "lexa862/NSFWmodel",
+    "Keltezaa/ShowerGirls",
+    "pimpilikipilapi1/fltax",
+    "Jonny001/Alita-v1",
+    "Jonny001/EXD-v1",
+    "Jonny001/NSFW_master",
+    "aifeifei798/sldr_flux_nsfw_v2-studio",
+    "getad72493/innipssy",
+    ]

app.py

@@ -0,0 +1,85 @@
+import gradio as gr
+from random import randint
+from all_models import models
+
+def load_fn(models):
+    global models_load
+    models_load = {}
+    
+    for model in models:
+        if model not in models_load.keys():
+            try:
+                m = gr.load(f'models/{model}')
+            except Exception as error:
+                m = gr.Interface(lambda txt: None, ['text'], ['image'])
+            models_load.update({model: m})
+
+
+load_fn(models)
+
+
+num_models = 32
+default_models = models[:num_models]
+
+
+def extend_choices(choices):
+    return choices + (num_models - len(choices)) * ['NA']
+
+
+def update_imgbox(choices):
+    choices_plus = extend_choices(choices)
+    return [gr.Image(None, label = m, visible = (m != 'NA')) for m in choices_plus]
+
+    
+def gen_fn(model_str, prompt):
+    if model_str == 'NA':
+        return None
+    noise = str(randint(0, 99999999999))
+    return models_load[model_str](f'{prompt} {noise}')
+
+
+with gr.Blocks() as demo:
+    with gr.Tab('Multiple models'): 
+        with gr.Accordion('Model selection'):
+            model_choice = gr.CheckboxGroup(models, label = f'Choose up to {num_models} different models', value = default_models, multiselect = True, max_choices = num_models, interactive = True, filterable = False)
+
+
+        txt_input = gr.Textbox(label = 'Prompt text')
+        gen_button = gr.Button('Generate')
+        stop_button = gr.Button('Stop', variant = 'secondary', interactive = False)
+        gen_button.click(lambda s: gr.update(interactive = True), None, stop_button)
+           
+        with gr.Row():
+            output = [gr.Image(label = m) for m in default_models]
+            current_models = [gr.Textbox(m, visible = False) for m in default_models]
+            
+            model_choice.change(update_imgbox, model_choice, output)
+            model_choice.change(extend_choices, model_choice, current_models)
+
+        for m, o in zip(current_models, output):
+            gen_event = gen_button.click(gen_fn, [m, txt_input], o, queue=False)
+                    
+            
+    with gr.Tab('Single model'):
+        model_choice2 = gr.Dropdown(models, label = 'Choose model', value = models[0], filterable = False)
+        txt_input2 = gr.Textbox(label = 'Prompt text')
+        
+        max_images = 16
+        num_images = gr.Slider(1, max_images, value = max_images, step = 1, label = 'Number of images')
+        
+        gen_button2 = gr.Button('Generate')
+        stop_button2 = gr.Button('Stop', variant = 'secondary', interactive = False)
+        gen_button2.click(lambda s: gr.update(interactive = True), None, stop_button2)
+        
+        with gr.Row():
+            output2 = [gr.Image(label = '') for _ in range(max_images)]
+
+        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 = gen_button2.click(lambda i, n, m, t: gen_fn(m, t) if (i < n) else None, [img_i, num_images, model_choice2, txt_input2], o)
+            stop_button2.click(lambda s: gr.update(interactive = False), None, stop_button2, cancels = [gen_event2])
+
+    
+demo.queue(concurrency_count = 36)                        
+demo.launch()

requirements.txt

@@ -0,0 +1,6 @@
+accelerate
+diffusers
+invisible_watermark
+torch
+transformers
+xformers