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Safety checker on-off switch for stable diffusion pipeline #254

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Safety checker on-off switch for stable diffusion pipeline #254

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56d8b74
Made the safety checker on / off switch
samrahimi Aug 25, 2022
f954669
Merge branch 'huggingface:main' into main
samrahimi Aug 25, 2022
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18 changes: 12 additions & 6 deletions src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
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Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,7 @@ def __call__(
generator: Optional[torch.Generator] = None,
latents: Optional[torch.FloatTensor] = None,
output_type: Optional[str] = "pil",
censored = False,
**kwargs,
):
if "torch_device" in kwargs:
Expand Down Expand Up @@ -161,11 +162,16 @@ def __call__(
image = (image / 2 + 0.5).clamp(0, 1)
image = image.cpu().permute(0, 2, 3, 1).numpy()

# run safety checker
safety_cheker_input = self.feature_extractor(self.numpy_to_pil(image), return_tensors="pt").to(self.device)
image, has_nsfw_concept = self.safety_checker(images=image, clip_input=safety_cheker_input.pixel_values)

# run safety checker if censorship enabled
has_nsfw_concept= False
if censored:
warnings.warn("Running in Censored Mode! If you get the NSFW message repeatedly, pls try calling this with censored=False")
safety_cheker_input = self.feature_extractor(self.numpy_to_pil(image), return_tensors="pt").to(self.device)
image, has_nsfw_concept = self.safety_checker(images=image, clip_input=safety_cheker_input.pixel_values)
if has_nsfw_concept:
warnings.warn("CENSORED. If this behavior is not desirable for your use case, simple call with censored=False")
else:
warnings.warn("Running in Uncensored Mode! Returned image may be NSFW")
if output_type == "pil":
image = self.numpy_to_pil(image)

return {"sample": image, "nsfw_content_detected": has_nsfw_concept}
return {"sample": image, "nsfw_content_detected": False}