diff --git a/README.md b/README.md
index 0876022..20c2c02 100644
--- a/README.md
+++ b/README.md
@@ -55,28 +55,6 @@ or you can click here
[](https://www.youtube.com/watch?v=vd_AgHtOUFQ)
or you can click here to get the video. Some best prompts are [here](./example/prompt.txt).
-
-
-💡 We also have other video generation projects that may interest you ✨.
-
-
-> [**Open-Sora Plan: Open-Source Large Video Generation Model**](https://arxiv.org/abs/2412.00131)
-> Bin Lin, Yunyang Ge and Xinhua Cheng etc.
-[](https://github.com/PKU-YuanGroup/Open-Sora-Plan) [](https://github.com/PKU-YuanGroup/Open-Sora-Plan) [](https://arxiv.org/abs/2412.00131)
->
-> [**OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation**](https://arxiv.org/abs/2505.20292)
-> Shenghai Yuan, Xianyi He and Yufan Deng etc.
-> [](https://github.com/PKU-YuanGroup/OpenS2V-Nexus) [](https://github.com/PKU-YuanGroup/OpenS2V-Nexus) [](https://arxiv.org/abs/2505.20292)
->
-> [**ConsisID: Identity-Preserving Text-to-Video Generation by Frequency Decomposition**](https://arxiv.org/abs/2411.17440)
-> Shenghai Yuan, Jinfa Huang and Xianyi He etc.
-> [](https://github.com/PKU-YuanGroup/ConsisID/) [](https://github.com/PKU-YuanGroup/ConsisID/) [](https://arxiv.org/abs/2411.17440)
->
-> [**MagicTime: Time-lapse Video Generation Models as Metamorphic Simulators**](https://arxiv.org/abs/2404.05014)
-> Shenghai Yuan, Jinfa Huang and Yujun Shi etc.
-> [](https://github.com/PKU-YuanGroup/MagicTime) [](https://github.com/PKU-YuanGroup/MagicTime) [](https://arxiv.org/abs/2404.05014)
->
+ Click to expand the code
+
+ ```bash
+ import torch
+ from diffusers import AutoModel, HeliosPyramidPipeline
+ from diffusers.utils import export_to_video, load_video, load_image
+
+ vae = AutoModel.from_pretrained("BestWishYsh/Helios-Distilled", subfolder="vae", torch_dtype=torch.float32)
+
+ pipeline = HeliosPyramidPipeline.from_pretrained(
+ "BestWishYsh/Helios-Distilled",
+ vae=vae,
+ torch_dtype=torch.bfloat16
+ )
+ pipeline.to("cuda")
+
+ negative_prompt = """
+ Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality,
+ low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured,
+ misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards
+ """
+
+ # --- T2V ---
+ prompt = """
+ A vibrant tropical fish swimming gracefully among colorful coral reefs in a clear, turquoise ocean. The fish has bright blue
+ and yellow scales with a small, distinctive orange spot on its side, its fins moving fluidly. The coral reefs are alive with
+ a variety of marine life, including small schools of colorful fish and sea turtles gliding by. The water is crystal clear,
+ allowing for a view of the sandy ocean floor below. The reef itself is adorned with a mix of hard and soft corals in shades
+ of red, orange, and green. The photo captures the fish from a slightly elevated angle, emphasizing its lively movements and
+ the vivid colors of its surroundings. A close-up shot with dynamic movement.
+ """
+
+ output = pipeline(
+ prompt=prompt,
+ negative_prompt=negative_prompt,
+ num_frames=240,
+ pyramid_num_inference_steps_list=[2, 2, 2],
+ guidance_scale=1.0,
+ is_amplify_first_chunk=True,
+ generator=torch.Generator("cuda").manual_seed(42),
+ ).frames[0]
+ export_to_video(output, "helios_distilled_t2v_output.mp4", fps=24)
+
+ # --- I2V ---
+ i2v_prompt = """
+ A towering emerald wave surges forward, its crest curling with raw power and energy. Sunlight glints off the translucent water,
+ illuminating the intricate textures and deep green hues within the wave’s body. A thick spray erupts from the breaking crest,
+ casting a misty veil that dances above the churning surface. As the perspective widens, the immense scale of the wave becomes
+ apparent, revealing the restless expanse of the ocean stretching beyond. The scene captures the ocean’s untamed beauty and
+ relentless force, with every droplet and ripple shimmering in the light. The dynamic motion and vivid colors evoke both awe and
+ respect for nature’s might.
+ """
+ image_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/helios/wave.jpg"
+
+ output = pipeline(
+ prompt=i2v_prompt,
+ negative_prompt=negative_prompt,
+ image=load_image(image_path).resize((640, 384)),
+ num_frames=240,
+ pyramid_num_inference_steps_list=[2, 2, 2],
+ guidance_scale=1.0,
+ is_amplify_first_chunk=True,
+ generator=torch.Generator("cuda").manual_seed(42),
+ ).frames[0]
+ export_to_video(output, "helios_distilled_i2v_output.mp4", fps=24)
+
+ # --- V2V ---
+ v2v_prompt = """
+ A bright yellow Lamborghini Huracn Tecnica speeds along a curving mountain road, surrounded by lush green trees
+ under a partly cloudy sky. The car's sleek design and vibrant color stand out against the natural backdrop,
+ emphasizing its dynamic movement. The road curves gently, with a guardrail visible on one side, adding depth to
+ the scene. The motion blur captures the sense of speed and energy, creating a thrilling and exhilarating atmosphere.
+ A front-facing shot from a slightly elevated angle, highlighting the car's aggressive stance and the surrounding greenery.
+ """
+ video_path = "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/helios/car.mp4"
+
+ output = pipeline(
+ prompt=v2v_prompt,
+ negative_prompt=negative_prompt,
+ video=load_video(video_path),
+ num_frames=240,
+ pyramid_num_inference_steps_list=[2, 2, 2],
+ guidance_scale=1.0,
+ is_amplify_first_chunk=True,
+ generator=torch.Generator("cuda").manual_seed(42),
+ ).frames[0]
+ export_to_video(output, "helios_distilled_v2v_output.mp4", fps=24)
+ ```
+
+
+
+For example, let's take Helios-Distilled (**Modular Pipeline**).
Click to expand the code
diff --git a/requirements_npu.txt b/requirements_npu.txt
index fa48a37..559be7d 100644
--- a/requirements_npu.txt
+++ b/requirements_npu.txt
@@ -1,6 +1,6 @@
-# Please refer to here for installation: https://github.com/Ascend/pytorch?tab=readme-ov-file#ascend-auxiliary-software
-torch==2.7.1
-torchvision==0.22.1
-torchaudio==2.7.1
-triton==3.3.1
-torch_npu==2.7.1 # or torch_npu=2.7.1.post2
\ No newline at end of file
+# Please refer to here for installation the latest version: https://github.com/Ascend/pytorch?tab=readme-ov-file#ascend-auxiliary-software
+torch==2.9.0
+torchvision==0.24.0
+torchaudio==2.9.0
+torch_npu==2.9.0
+triton==3.5.1