diff --git a/src/h3_blackwell_runtime/t2v.py b/src/h3_blackwell_runtime/t2v.py
index e1e5913..833fef8 100644
--- a/src/h3_blackwell_runtime/t2v.py
+++ b/src/h3_blackwell_runtime/t2v.py
@@ -28,3 +28,12 @@ def empty_av_latents(width: int, height: int, frames: int, *, device: torch.devi
     video = torch.zeros((1, 24, video_steps, height // 16, width // 16), device=device)
     audio = torch.zeros((1, 32, 2, audio_steps), device=device)
     return video, audio, frames
+
+
+def random_av_latents(width: int, height: int, frames: int, seed: int, *, device: torch.device | str = "cuda") -> tuple[torch.Tensor, torch.Tensor, int]:
+    """Generate Comfy-equivalent CPU-seeded joint AV noise latents."""
+    video, audio, frames = empty_av_latents(width, height, frames, device="cpu")
+    generator = torch.manual_seed(seed)
+    video = torch.randn(video.shape, dtype=torch.float32, generator=generator, device="cpu").to(video.dtype)
+    audio = torch.randn(audio.shape, dtype=torch.float32, generator=generator, device="cpu").to(audio.dtype)
+    return video.to(device), audio.to(device), frames
diff --git a/tools/direct_t2v_preview.py b/tools/direct_t2v_preview.py
index 612c738..958b4e9 100644
--- a/tools/direct_t2v_preview.py
+++ b/tools/direct_t2v_preview.py
@@ -14,7 +14,7 @@ from h3_blackwell_runtime.denoiser import H3PackedDenoiser
 from h3_blackwell_runtime.packing import H3PromptPacker
 from h3_blackwell_runtime.qwen3vl_text import Qwen3VLPromptConditioner
 from h3_blackwell_runtime.sampler import sample_video_res_multistep
-from h3_blackwell_runtime.t2v import empty_av_latents
+from h3_blackwell_runtime.t2v import random_av_latents
 from h3_blackwell_runtime.token_refiner import H3TokenRefiner
 from h3_blackwell_runtime.vae_decoder import MiniMaxH3VideoVAE
 
@@ -30,14 +30,12 @@ parser.add_argument("--seed", type=int, default=440204)
 parser.add_argument("--attention", choices=("sage2", "sdpa", "sage3"), default="sage2")
 args = parser.parse_args()
 
-torch.manual_seed(args.seed)
 checkpoint = H3Checkpoint("/models/minimax_h3_fl2va_pruned_nvfp4.safetensors")
 conditioner = Qwen3VLPromptConditioner(
     "/text-encoders/qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",
     "/opt/h3-blackwell-runtime/src/h3_blackwell_runtime/qwen25_tokenizer",
 )
-video, audio, frames = empty_av_latents(args.width, args.height, args.frames)
-video.normal_()
+video, audio, frames = random_av_latents(args.width, args.height, args.frames, args.seed)
 model = H3PackedDenoiser.from_checkpoint(checkpoint, attention_backend=args.attention).eval()
 text = H3TokenRefiner(checkpoint, attention_backend=args.attention)(conditioner(args.prompt))
 latent = sample_video_res_multistep(model, H3PromptPacker(checkpoint), text, video, audio, steps=args.steps)