import gradio as gr
from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
import torch

def imagen(inputs):
    
    model_id = "Fazzie/PokemonGAI"
    
    # Use the DPMSolverMultistepScheduler (DPM-Solver++) scheduler here instead
    pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
    if torch.cuda.is_available():
        pipe = pipe.to("cuda")
    
    prompt = "a photo of an astronaut riding a horse on mars"
    negative_prompt = 'pixelated, distorted'
    image = pipe(prompt=inputs, negative_prompt=negative_prompt).images[0]

    return image

demo = gr.Interface(fn=imagen, inputs="text", outputs="image")
demo.launch()

# gr.Interface.load("models/Fazzie/PokemonGAI").launch()