fix seeding for img2img

hydra_node/models.py

@@ -177,6 +177,10 @@ class StableDiffusionModel(nn.Module):
     @torch.no_grad()
     @torch.autocast("cuda", enabled=True, dtype=torch.float16)
     def sample(self, request):
+        if request.seed is not None:
+            torch.manual_seed(request.seed)
+            np.random.seed(request.seed)
+            
         if request.image is not None:
             request.sampler = "ddim_img2img" #enforce ddim for now
             self.ddim.make_schedule(ddim_num_steps=request.steps, ddim_eta=request.ddim_eta, verbose=False)
@@ -185,10 +189,6 @@ class StableDiffusionModel(nn.Module):
             print(start_code.shape)
             start_code = start_code + (torch.randn_like(start_code) * request.noise)
             t_enc = int(request.strength * request.steps)
-            
-        if request.seed is not None:
-            torch.manual_seed(request.seed)
-            np.random.seed(request.seed)
 
         if request.sampler.startswith("k_"):
             sampler = "k-diffusion"