File size: 597 Bytes
8459afb a73aa9b 8459afb c1826f2 a73aa9b 8459afb c1826f2 8459afb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
import torch
from diffusers import StableDiffusionPipeline
import gradio as gr
model_id = "runwayml/stable-diffusion-v1-5"
# Detect if GPU is available, else fall back to CPU and float32
device = "cuda" if torch.cuda.is_available() else "cpu"
dtype = torch.float16 if device == "cuda" else torch.float32
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=dtype)
pipe.to(device)
def generate(prompt):
image = pipe(prompt).images[0]
return image
iface = gr.Interface(fn=generate, inputs="text", outputs="image", title="Stable Diffusion Image Generator")
iface.launch() |