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import torch | |
from diffusers import StableDiffusionPipeline | |
# Carregar o modelo Stable Diffusion | |
model_id = "stabilityai/stable-diffusion-2-1-base" | |
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) | |
pipe = pipe.to("cuda") | |
# Função para gerar uma imagem | |
def generate_image(prompt, output_path): | |
with torch.autocast("cuda"): | |
image = pipe(prompt).images[0] | |
image.save(output_path) | |
if __name__ == "__main__": | |
prompt = "A stick figure woman with a hypersexualized body, round head, and simple colors" | |
output_path = "output_image.png" | |
generate_image(prompt, output_path) | |
print(f"Image generated and saved to {output_path}") |