| import gradio as gr | |
| from diffusers import DiffusionPipeline | |
| import torch | |
| pipe = DiffusionPipeline.from_pretrained( | |
| "kpsss34/FHDR_Uncensored", | |
| torch_dtype=torch.float16 | |
| ).to("cuda") | |
| def generate(prompt): | |
| image = pipe(prompt).images[0] | |
| return image | |
| iface = gr.Interface(fn=generate, inputs="text", outputs="image") | |
| iface.launch() |