initial commit

app.py

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+from asyncio import constants
+import gradio as gr
+import requests
+import os 
+import re
+import random
+from words import *
+from base64 import b64decode
+from PIL import Image
+import io
+import numpy as np
+
+
+def desc_to_image(desc):
+  print("*****Inside desc_to_image")
+  desc = " ".join(desc.split('\n'))
+  desc = desc + ", character art, concept art, artstation"
+  steps, width, height, images, diversity = '50','256','256','1',15
+  iface = gr.Interface.load("spaces/multimodalart/latentdiffusion")
+  print("about to die",iface,dir(iface))
+
+  prompt = re.sub(r'[^a-zA-Z0-9 ,.]', '', desc)
+  print("about to die",prompt)
+
+
+  img=iface(desc, steps, width, height, images, diversity)[0]
+  return img
+
+
+def upscale_img(img):
+    iface = gr.Interface.load("spaces/akhaliq/Real-ESRGAN")
+    model='base'
+    uimg=iface(img,models)
+    return uimg
+
+
+
+demo = gr.Blocks()
+
+with demo:
+  gr.Markdown("<h1><center>NPC Generator</center></h1>")
+  gr.Markdown(
+        "<div>Run <a href='https://huggingface.co/spaces/multimodalart/latentdiffusion'>Latent Diffusion</a> first to generate an image</div>"
+        "<div>Then upscale with <a href='https://huggingface.co/spaces/akhaliq/Real-ESRGAN/blob/main/app.py'>ESRGAN</a></div>"
+    )
+  
+  with gr.Row():
+    b0 = gr.Button("generate")
+    b1 = gr.Button("upscale")
+  
+  with gr.Row():  
+    desc = gr.Textbox(label="description",placeholder="an impressionist painting of a white vase")
+    
+  with gr.Row():
+    intermediate_image = gr.Image(label="portrait",type="filepath", shape=(256,256))
+    output_image = gr.Image(label="portrait",type="filepath", shape=(256,256))
+  
+  b0.click(desc_to_image,inputs=[desc],outputs=[intermediate_image])
+  b1.click(upscale_img, inputs=[ intermediate_image], outputs=output_image)
+  #examples=examples
+
+demo.launch(enable_queue=True, debug=True)