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stable-diffusion-cpuonly
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Patrick von Platen 3 years ago
parent f3f60fccc3
commit 239ed0fd02
1 changed files with 1 additions and 6 deletions
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7
scripts/txt2img.py
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@ -266,7 +266,7 @@ def main():
x_samples_ddim = model.decode_first_stage(samples_ddim) x_samples_ddim = model.decode_first_stage(samples_ddim)
x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0) x_samples_ddim = torch.clamp((x_samples_ddim + 1.0) / 2.0, min=0.0, max=1.0)
x_samples_ddim = x_samples_ddim.cpu().permute(0, 2, 3, 1).numpy() x_samples_ddim = x_samples_ddim.cpu().permute(0, 2, 3, 1)
x_image = x_samples_ddim x_image = x_samples_ddim
safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt") safety_checker_input = safety_feature_extractor(numpy_to_pil(x_image), return_tensors="pt")
@ -295,11 +295,6 @@ def main():
Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f'grid-{grid_count:04}.png')) Image.fromarray(grid.astype(np.uint8)).save(os.path.join(outpath, f'grid-{grid_count:04}.png'))
grid_count += 1 grid_count += 1
image = x_samples_ddim.cpu().permute(0, 2, 3, 1).numpy()
# run safety checker
safety_checker_input = pipe.feature_extractor(numpy_to_pil(image), return_tensors="pt")
image, has_nsfw_concept = pipe.safety_checker(images=image, clip_input=safety_checker_input.pixel_values)
toc = time.time() toc = time.time()
print(f"Your samples are ready and waiting for you here: \n{outpath} \n" print(f"Your samples are ready and waiting for you here: \n{outpath} \n"

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