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import gradio as gr | |
import torch | |
from diffusers import DiffusionPipeline | |
# from diffusers import StableDiffusionPipeline | |
def generate(prompt): | |
# pipeline = DiffusionPipeline.from_pretrained("jayparmr/CyberRealistic", torch_dtype=torch.float16) | |
pipeline = DiffusionPipeline.from_pretrained("jayparmr/cyberrealistic", use_auth_token="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", torch_dtype=torch.float16) | |
pipeline.to("cuda") | |
return pipeline(prompt).images[0] | |
iface = gr.Interface(fn=generate, inputs="text", outputs="image") | |
iface.launch() |