Make ddim work with --cpu

comfy/samplers.py

@@ -450,7 +450,7 @@ class KSampler:
                 noise_mask = None
                 if denoise_mask is not None:
                     noise_mask = 1.0 - denoise_mask
-                sampler = DDIMSampler(self.model)
+                sampler = DDIMSampler(self.model, device=self.device)
                 sampler.make_schedule_timesteps(ddim_timesteps=timesteps, verbose=False)
                 z_enc = sampler.stochastic_encode(latent_image, torch.tensor([len(timesteps) - 1] * noise.shape[0]).to(self.device), noise=noise, max_denoise=max_denoise)
                 samples, _ = sampler.sample_custom(ddim_timesteps=timesteps,