Spaces:
Runtime error
Runtime error
from turtle import width | |
import gradio as gr | |
import random | |
import inspect | |
latent = gr.Interface.load("spaces/multimodalart/latentdiffusion") | |
print(latent) | |
rudalle = gr.Interface.load("spaces/multimodalart/rudalle") | |
print(rudalle) | |
#guided = gr.Interface.load("spaces/EleutherAI/clip-guided-diffusion") | |
#print(guided) | |
def text2image_latent(text,steps,width,height,images,diversity): | |
image = latent(text, steps, width, height, images, diversity)[0] | |
return(image) | |
def text2image_rudalle(text,aspect,model): | |
print(text) | |
print(aspect) | |
print(model) | |
image = rudalle(text,aspect,model)[0] | |
print(image) | |
return(image) | |
#def text2image_guided(text): | |
# image = guided(text, None, 10, 600, 0, 0, 0, random.randint(0,2147483647), None, 50, 32) | |
# print(image) | |
# image = image[0] | |
# return(image) | |
block = gr.Blocks() | |
with gr.Blocks() as mindseye: | |
text = gr.inputs.Textbox(placeholder="Try writing something..") | |
with gr.Tabs(): | |
with gr.TabItem("Latent"): | |
which_tab = "Latent Diffusion" | |
steps = gr.inputs.Slider(label="Steps - more steps can increase quality but will take longer to generate",default=45,maximum=50,minimum=1,step=1) | |
width = gr.inputs.Radio(label="Width", choices=[32,64,128,256],default=256) | |
height = gr.inputs.Radio(label="Height", choices=[32,64,128,256],default=256) | |
images = gr.inputs.Slider(label="Images - How many images you wish to generate", default=2, step=1, minimum=1, maximum=4) | |
diversity = gr.inputs.Slider(label="Diversity scale - How different from one another you wish the images to be",default=5.0, minimum=1.0, maximum=15.0) | |
get_image_latent = gr.Button("Generate Image") | |
with gr.TabItem("Rudalle"): | |
which_tab = "ruDALLE" | |
aspect = gr.inputs.Radio(label="Aspect Ratio", choices=["Square", "Horizontal", "Vertical"],default="Square") | |
model = gr.inputs.Dropdown(label="Model", choices=["Surrealism","Realism", "Emoji"], default="Surrealism") | |
get_image_rudalle = gr.Button("Generate Image") | |
#with gr.TabItem("guided"): | |
# which_tab = "Guided Diffusion" | |
# get_image_guided = gr.Button("Generate Image") | |
#get_image = gr.Button("Generate Image") | |
with gr.Column(): | |
with gr.Row(): | |
image = gr.outputs.Image() | |
print(which_tab) | |
get_image_latent.click(text2image_latent, inputs=[text,steps,width,height,images,diversity], outputs=image) | |
get_image_rudalle.click(text2image_rudalle, inputs=[text,aspect,model], outputs=image) | |
#get_image_guided.click(text2image_guided, inputs=text, outputs=image) | |
mindseye.launch() | |