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import gradio as gr | |
from diffusers import StableDiffusionPipeline | |
import torch | |
import numpy as np | |
model_id = "Joeythemonster/anything-midjourney-v-4-1" | |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32) | |
pipe = pipe.to("cpu") | |
def generate_image(prompt): | |
image = pipe(prompt).images[0] | |
image = np.asarray(image) | |
return image | |
iface = gr.Interface(generate_image, gr.inputs.Textbox(label="Enter a prompt"), gr.outputs.Image(type='numpy'), batch_size=1) | |
iface.launch() | |