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from diffusers import DiffusionPipeline
import gradio as gr
model_id = "CompVis/ldm-text2im-large-256"
# load text input to diffusion pipeline
ldm = DiffusionPipeline.from_pretrained(model_id)
def generate_image(Prompt):
images = ldm([Prompt], num_inference_steps=50, eta=.3, guidance_scale=6)
return images.images[0]
interface = gr.Interface(fn = generate_image,inputs = "text",outputs = "image",title = "Mashdemy Demo Image Generator App", description = "Type in a text and click submit to generate an image:", examples = ["a clown riding a lion", "a mouse using a laptop"])
interface.launch(share = True) |