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Fix division by zero in rescale_noise_cfg causing NaNs during inference #13426

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Fix division by zero in rescale_noise_cfg causing NaNs during inference #13426

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4bca85e
Fix division by zero in rescale_noise_cfg causing NaNs
Akash504-ai Apr 6, 2026
0a650b8
Remove unintended test.png file
Akash504-ai Apr 6, 2026
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3 changes: 2 additions & 1 deletion src/diffusers/guiders/guider_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -390,7 +390,8 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
std_text = noise_pred_text.std(dim=list(range(1, noise_pred_text.ndim)), keepdim=True)
std_cfg = noise_cfg.std(dim=list(range(1, noise_cfg.ndim)), keepdim=True)
# rescale the results from guidance (fixes overexposure)
noise_pred_rescaled = noise_cfg * (std_text / std_cfg)
eps = 1e-6
noise_pred_rescaled = noise_cfg * (std_text / (std_cfg + eps))
# mix with the original results from guidance by factor guidance_rescale to avoid "plain looking" images
noise_cfg = guidance_rescale * noise_pred_rescaled + (1 - guidance_rescale) * noise_cfg
return noise_cfg
3 changes: 2 additions & 1 deletion src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py
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Expand Up @@ -86,7 +86,8 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
std_text = noise_pred_text.std(dim=list(range(1, noise_pred_text.ndim)), keepdim=True)
std_cfg = noise_cfg.std(dim=list(range(1, noise_cfg.ndim)), keepdim=True)
# rescale the results from guidance (fixes overexposure)
noise_pred_rescaled = noise_cfg * (std_text / std_cfg)
eps = 1e-6
noise_pred_rescaled = noise_cfg * (std_text / (std_cfg + eps))
# mix with the original results from guidance by factor guidance_rescale to avoid "plain looking" images
noise_cfg = guidance_rescale * noise_pred_rescaled + (1 - guidance_rescale) * noise_cfg
return noise_cfg
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3 changes: 2 additions & 1 deletion src/diffusers/pipelines/stable_diffusion_xl/pipeline_stable_diffusion_xl.py
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Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,8 @@ def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
std_text = noise_pred_text.std(dim=list(range(1, noise_pred_text.ndim)), keepdim=True)
std_cfg = noise_cfg.std(dim=list(range(1, noise_cfg.ndim)), keepdim=True)
# rescale the results from guidance (fixes overexposure)
noise_pred_rescaled = noise_cfg * (std_text / std_cfg)
eps = 1e-6
noise_pred_rescaled = noise_cfg * (std_text / (std_cfg + eps))
# mix with the original results from guidance by factor guidance_rescale to avoid "plain looking" images
noise_cfg = guidance_rescale * noise_pred_rescaled + (1 - guidance_rescale) * noise_cfg
return noise_cfg
Expand Down