[fix] pipeline_unclip generator (#1751)

* [fix] pipeline_unclip generator

pass generator to all schedulers

* fix fast tests test data

src/diffusers/pipelines/unclip/pipeline_unclip.py

@@ -292,7 +292,7 @@ class UnCLIPPipeline(DiffusionPipeline):
 
             # compute the previous noisy sample x_t -> x_t-1
             decoder_latents = self.decoder_scheduler.step(
-                noise_pred, t, decoder_latents, prev_timestep=prev_timestep
+                noise_pred, t, decoder_latents, prev_timestep=prev_timestep, generator=generator
             ).prev_sample
 
         decoder_latents = decoder_latents.clamp(-1, 1)
@@ -348,7 +348,7 @@ class UnCLIPPipeline(DiffusionPipeline):
 
             # compute the previous noisy sample x_t -> x_t-1
             super_res_latents = self.super_res_scheduler.step(
-                noise_pred, t, super_res_latents, prev_timestep=prev_timestep
+                noise_pred, t, super_res_latents, prev_timestep=prev_timestep, generator=generator
             ).prev_sample
 
         image = super_res_latents

tests/pipelines/unclip/test_unclip.py

@@ -233,15 +233,15 @@ class UnCLIPPipelineFastTests(unittest.TestCase):
 
         expected_slice = np.array(
             [
-                0.0009,
+                0.0011,
+                0.0002,
+                0.9962,
+                0.9940,
+                0.0002,
                 0.9997,
                 0.0003,
-                0.9991,
-                0.9967,
-                0.0003,
-                0.9997,
-                0.0003,
-                0.0004,
+                0.9987,
+                0.9989,
             ]
         )
 
@@ -261,7 +261,7 @@ class UnCLIPPipelineIntegrationTests(unittest.TestCase):
     def test_unclip_karlo(self):
         expected_image = load_numpy(
             "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
-            "/karlo_v1_alpha/horse.npy"
+            "/unclip/karlo_v1_alpha_horse.npy"
         )
 
         pipeline = UnCLIPPipeline.from_pretrained("kakaobrain/karlo-v1-alpha")