| 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/icbinp", 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() |