diff --git a/modules/processing.py b/modules/processing.py
index f3883d5b3..7e73d7e29 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -882,15 +882,16 @@ def process_images_inner(p: StableDiffusionProcessing) -> Processed:
                 alphas_bar[-1] = 4.8973451890853435e-08
                 return alphas_bar
 
-            p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod_original.to(shared.device)
+            if hasattr(p.sd_model, 'alphas_cumprod') and hasattr(p.sd_model, 'alphas_cumprod_original'):
+                p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod_original.to(shared.device)
 
-            if opts.use_downcasted_alpha_bar:
-                p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar
-                p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod.half().to(shared.device)
-            if opts.sd_noise_schedule == "Zero Terminal SNR":
-                p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule
-                print("rescaling noise schedule for zero snr")
-                p.sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(p.sd_model.alphas_cumprod).to(shared.device)
+                if opts.use_downcasted_alpha_bar:
+                    p.extra_generation_params['Downcast alphas_cumprod'] = opts.use_downcasted_alpha_bar
+                    p.sd_model.alphas_cumprod = p.sd_model.alphas_cumprod.half().to(shared.device)
+                if opts.sd_noise_schedule == "Zero Terminal SNR":
+                    p.extra_generation_params['Noise Schedule'] = opts.sd_noise_schedule
+                    print("rescaling noise schedule for zero snr")
+                    p.sd_model.alphas_cumprod = rescale_zero_terminal_snr_abar(p.sd_model.alphas_cumprod).to(shared.device)
 
             with devices.without_autocast() if devices.unet_needs_upcast else devices.autocast():
                 samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts)