Duplicate from AlStable/marvel

Co-authored-by: clifford padraig <AlStable@users.noreply.huggingface.co>

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README.md

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+---
+title: AlStable Marvel
+emoji: 👀
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: 3.15.0
+app_file: app.py
+pinned: false
+duplicated_from: AlStable/marvel
+---
+
+Misuse, Malicious Use, and Out-of-Scope Use
+
+The current space should not be used to intentionally create or disseminate images that create hostile or alienating environments for people. This includes generating images that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio
+
+class Model:
+    def __init__(self, name, path="", prefix=""):
+        self.name = name
+        self.path = path
+        self.prefix = prefix
+
+models = [
+    Model("Anime","models/DucHaiten/DucHaitenAnime","DucHaiten style"),
+    Model("dreamlike","models/dreamlike-art/dreamlike-diffusion-1.0","dreamlike style"),
+    #Model("Illuminati_Diffusion","models/IlluminatiAI/Illuminati_Diffusion_v1.0","photo realistic style"),
+    Model("CF25","models/gsdf/Counterfeit-V2.5","best quality"),    
+    Model("Midjourney","models/prompthero/midjourney-v4-diffusion","midjourney style"),
+    Model("PhotoReal","models/dreamlike-art/dreamlike-photoreal-2.0","photoreal style"),
+    Model("MF Base","models/MyneFactory/MF-Base","booru style"),
+    Model("Anything","models/Linaqruf/anything-v3.0", "Anything style")
+]
+
+model1=[]
+model2=[]
+model3=[]
+
+for i in range(len(models)):
+    model3.append(models[i].name)
+    model1.append(gradio.Interface.load(models[i].path))
+    model2.append(models[i].prefix)
+
+def ProcessP(prompt, modelSelected):
+    print(prompt)
+    print(modelSelected)
+    if (modelSelected==''):
+        modelSelected = "Anything"
+    model_idx=model3.index(modelSelected)
+    prompt+=", in "+model2[model_idx]
+    image_return = model1[model_idx](prompt)
+    return image_return
+
+sandbox = gradio.Interface(fn=ProcessP, 
+                        inputs=[gradio.Textbox(label="Enter Prompt:"),  gradio.Dropdown(model3)],
+                        outputs=[gradio.Image(label="Produced Image")], 
+                        title='AlStable Text to Image')
+sandbox.queue(concurrency_count=20).launch(debug=True)