🌊 Awesome Wan Video Generation

The Complete Resource for Alibaba Wan Video Generation Models

The world's leading AI video generation model family — open-source models (2.1/2.2) & cutting-edge API (2.5/2.6). Wan 2.7 coming March 2026! Curated tools, prompts, guides, and resources.

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🚀 Generate Wan Videos via API — from $0.03/s 🚀

25% bonus on first recharge (up to $100) • Uncensored Wan Spicy available • Wan 2.7 coming soon!

🔒 Enterprise-Grade Security — Atlas Cloud is SOC I & II Certified | HIPAA Compliant | 99.9% uptime SLA.

🎨 NSFW Whitelist Update — In addition to Seedance and Kling, the Vidu series (Q3-Pro, Q3-Turbo) is now also whitelisted for uncensored content generation on Atlas Cloud.

🔥 Wan 2.7 — Coming Soon

Status: Expected March 2026

The Wan model family has followed a rapid and consistent improvement trajectory: 2.1 → 2.2 → 2.5 → 2.6 → 2.7. Each version has brought major leaps in capability, and Wan 2.7 is poised to continue that trend.

Wan 2.6 — The Current Baseline

Wan 2.6 already set a high bar with its feature set:

Multi-shot narrative generation — create coherent stories across multiple shots in a single generation
Character roleplay — maintain character identity across scenes using reference videos (R2V)
Voice-driven generation — native audio synchronization for dialogue and ambient sound
15-second video duration — the longest in the Wan series
5 video reference inputs — use multiple reference clips for character and scene consistency
1080p resolution — full HD output quality

Expected Wan 2.7 Improvements

Based on the version history progression and community feedback, Wan 2.7 is expected to push boundaries further:

Area	Wan 2.6 (Current)	Wan 2.7 (Expected)
Video Duration	Up to 15s	20s+ (likely)
Resolution	1920×1080	4K support possible
Motion Control	Good	More precise & controllable
Character Consistency	Reference-based	Enhanced identity preservation
Audio Sync	Supported	Improved lip sync & sound design

These are speculative improvements based on the consistent pattern of each Wan release addressing top community requests. Alibaba has not yet published official Wan 2.7 specs.

Version Timeline

Version	Release	Key Milestone
Wan 1.0	2024 Q3	Initial release
Wan 2.1	2024 Q4	VBench #1 (86.22%), open-source 14B & 1.3B
Wan 2.2	2025 Q1	Quality improvements, Spicy variant
Wan 2.5	2025 Q2	Audio sync, 1080p, 10s duration, API-only
Wan 2.6	2025 Q3	Multi-shot, 15s, character roleplay, R2V
Wan 2.7	2026 Q1 (Expected)	Coming Soon

🚀 Wan 2.7 will be available on Atlas Cloud upon release. Sign up now to get early access notifications and a 25% bonus on first recharge.

🌊 About Wan Models

Wan is Alibaba's video generation model series that has taken the AI world by storm. Wan 2.1 and 2.2 are fully open-source (Apache 2.0) with weights available on Hugging Face, while Wan 2.5 and 2.6 are closed-source commercial API models with advanced capabilities. From its debut to its current #1 position on the VBench leaderboard, Wan has consistently pushed the boundaries of video AI.

Why Wan?

🏆 VBench Champion — Wan 2.1 scored 86.22% on VBench, surpassing Sora (84.28%), Luma (83.61%), and all other models
🔓 Open Source (2.1/2.2) — Unlike Sora, Kling, or Runway, Wan 2.1/2.2 are fully open-source (Apache 2.0) with weights available on Hugging Face for self-deployment
💻 Consumer GPU Friendly — The 1.3B version needs only 8.19GB VRAM, runs on a single RTX 3060
📊 Massive Training Data — Trained on 1.5 billion videos + 10 billion images
🔥 2.2M+ Downloads — Proven and validated by the global AI community on Hugging Face and ModelScope
🎬 Uncensored Option — Wan 2.2 Spicy enables unrestricted creative freedom

Model Family Tree

Wan 1.0 (2024 Q3)
  └── Wan 2.1 (2024 Q4) — VBench #1, 14B & 1.3B [Open Source, Apache 2.0]
       └── Wan 2.2 (2025 Q1) — Improved quality, Spicy variant 🌶️ [Open Source, Apache 2.0]
            ├── Wan 2.2 Spicy — NSFW/Uncensored generation [Proprietary, Atlas Cloud LoRA]
            └── Wan 2.5 (2025 Q2) — Audio sync, 1080p, 10s [Closed Source, API only]
                 └── Wan 2.6 (2025 Q3) — Multi-shot, 15s, character stability [Closed Source, API only]
                      └── Wan 2.7 (March 2026?) — 🔜 Longer duration, higher res, better control

Key Differentiators vs Closed-Source Models

Feature	Wan 2.1/2.2	Wan 2.5/2.6	Sora	Kling	Runway Gen-3
Open Source	✅ Apache 2.0	❌ API only	❌	❌	❌
Local Deployment	✅	❌	❌	❌	❌
Max Resolution	720p	1920×1080	1920×1080	1920×1080	1920×1080
Max Duration	5s	15s	20s	10s	10s
Native Audio	❌	✅	✅	❌	❌
Multi-Shot	❌	✅	❌	❌	❌
NSFW Support	✅ (Spicy)	❌	❌	❌	❌
Price / Video	Self-host	From $0.03	$0.50+	$0.30+	$0.50+
Consumer GPU	✅ (1.3B)	N/A	N/A	N/A	N/A
Fine-tuning	✅ LoRA	❌	❌	❌	❌

📊 Model Comparison

Version	Parameters	Resolution	Duration	Audio	Multi-Shot	Open Source	NSFW	API Price
Wan 2.7 🔜	TBD	4K?	20s+?	✅	✅	TBD	TBD	Coming Soon
Wan 2.6	14B	1080p	Up to 15s	✅	✅	❌ (API only)	❌	$0.07
Wan 2.5	14B	1080p	Up to 10s	✅	❌	❌ (API only)	❌	Lower
Wan 2.2 Spicy 🌶️	14B	720p	Up to 8s	❌	❌	✅	✅	$0.03
Wan 2.2	14B / 1.3B	720p	Up to 5s	❌	❌	✅	❌	—
Wan 2.1	14B / 1.3B	720p	Up to 5s	❌	❌	✅	❌	—

Available Models on Atlas Cloud

Model	Type	Price	Highlights
Wan 2.6 T2V	Text-to-Video	from $0.07/s (70% off)	5/10/15s, up to 1920×1080, multi-shot, audio
Wan 2.6 I2V	Image-to-Video	Available	High-fidelity image animation
Wan 2.6 I2V Flash	Image-to-Video	Faster & cheaper	Speed-optimized variant
Wan 2.6 V2V	Video-to-Video	Available	Style transfer & editing
Wan 2.6 Image-Edit	Image Editing	Available	AI-powered image editing
Wan 2.6 T2I	Text-to-Image	Available	High-quality image generation
Wan 2.5 T2V	Text-to-Video	Available	Reliable video generation
Wan 2.5 I2V	Image-to-Video	Available	Stable image animation
Wan 2.5 Fast	Text-to-Video	Available	Speed-optimized
Wan 2.2 Spicy I2V 🌶️	Image-to-Video	from $0.03/s	Uncensored generation
Wan 2.2 Spicy I2V LoRA	Image-to-Video	Available	LoRA fine-tuning support
Wan 2.2 Character Swap	Video Effects	Available	animate-mix face swap
Wan 2.2 Image-to-Animation	Animation	Available	animate-move motion transfer
Van 2.6 / 2.5	Optimized	Available	Atlas Cloud optimized variants

Prices shown are starting prices per second of generated video. Actual cost depends on resolution, duration, and model selected.

🎁 New user offer: 25% bonus on first recharge (up to $100). Sign up now →

🚀 Quick Start

Option 1: API (Atlas Cloud) — Fastest Way

cURL Example — Wan 2.6 Text-to-Video

# Wan 2.6 Text-to-Video API call
curl -X POST "https://api.atlascloud.ai/v1/video/generate" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan-2.6-t2v",
    "prompt": "A majestic dragon soaring through clouds at sunset, cinematic lighting, 4K quality",
    "duration": 10,
    "resolution": "1920x1080",
    "audio": true
  }'

cURL Example — Wan 2.2 Spicy (Uncensored)

# Wan 2.2 Spicy Uncensored Image-to-Video API call — only from $0.03/s
curl -X POST "https://api.atlascloud.ai/v1/video/generate" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "alibaba/wan-2.2-spicy/image-to-video",
    "image_url": "https://example.com/your-image.jpg",
    "prompt": "Smooth natural movement, artistic expression, high quality"
  }'

Python Example — Full Pipeline

"""
Complete Wan video generation example
Supports Wan 2.6 T2V, I2V, and Wan 2.2 Spicy
"""
import requests
import time

# Atlas Cloud API configuration
API_KEY = "YOUR_API_KEY"
BASE_URL = "https://api.atlascloud.ai/v1"

def generate_video(prompt: str, model: str = "wan-2.6-t2v", **kwargs) -> str:
    """
    Call Wan model to generate video

    Args:
        prompt: Video description text
        model: Model name, defaults to Wan 2.6
        **kwargs: Other parameters such as duration, resolution, etc.
    Returns:
        Video download URL
    """
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }

    payload = {
        "model": model,
        "prompt": prompt,
        **kwargs
    }

    # Submit generation task
    response = requests.post(f"{BASE_URL}/video/generate", json=payload, headers=headers)
    task_id = response.json()["task_id"]

    # Poll for results
    while True:
        status = requests.get(f"{BASE_URL}/video/status/{task_id}", headers=headers)
        result = status.json()

        if result["status"] == "completed":
            return result["video_url"]
        elif result["status"] == "failed":
            raise Exception(f"Generation failed: {result.get('error', 'Unknown error')}")

        time.sleep(2)  # Check status every 2 seconds

# ====== Usage Examples ======

# Example 1: Wan 2.6 Text-to-Video (supports multi-shot + audio)
video_url = generate_video(
    prompt="A chef preparing sushi in a traditional Japanese kitchen, warm lighting, close-up shots",
    model="wan-2.6-t2v",
    duration=10,
    resolution="1920x1080",
    audio=True
)
print(f"Video generated: {video_url}")

# Example 2: Wan 2.2 Spicy Uncensored generation (only $0.03)
spicy_url = generate_video(
    prompt="Artistic figure study, classical painting style, natural movement",
    model="alibaba/wan-2.2-spicy/image-to-video"
)
print(f"Spicy video generated: {spicy_url}")

Option 2: Local Deployment (ComfyUI)

# 1. Install ComfyUI
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI

# 2. Install dependencies
pip install -r requirements.txt

# 3. Download Wan 2.6 model weights
# Download from Hugging Face (requires approximately 28GB disk space)
huggingface-cli download Wan-AI/Wan2.6-T2V-14B --local-dir models/wan2.6/

# 4. Install Wan ComfyUI nodes
cd custom_nodes
git clone https://github.com/Wan-Video/ComfyUI-Wan.git
pip install -r ComfyUI-Wan/requirements.txt

# 5. Launch ComfyUI
cd ..
python main.py --listen 0.0.0.0 --port 8188

Option 3: Hugging Face Pipeline

"""
Run Wan 2.1 locally using the Hugging Face Diffusers library
Suitable for users with NVIDIA GPUs
"""
from diffusers import WanPipeline
import torch

# Load model (1.3B version only needs 8.19GB VRAM)
pipe = WanPipeline.from_pretrained(
    "Wan-AI/Wan2.1-T2V-1.3B",
    torch_dtype=torch.float16
)
pipe = pipe.to("cuda")

# Generate video
video = pipe(
    prompt="A golden retriever playing in autumn leaves, slow motion, warm sunlight",
    num_frames=81,        # approximately 5 second video
    height=480,
    width=720,
    guidance_scale=7.5
).frames[0]

# Save video
from diffusers.utils import export_to_video
export_to_video(video, "output.mp4", fps=16)
print("Video saved to output.mp4")

Option 4: Docker Deployment

# Wan 2.6 Docker deployment configuration
FROM nvidia/cuda:12.1-runtime-ubuntu22.04

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3 python3-pip git wget \
    && rm -rf /var/lib/apt/lists/*

# Install Python dependencies
RUN pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu121
RUN pip3 install diffusers transformers accelerate safetensors

# Download Wan model
RUN huggingface-cli download Wan-AI/Wan2.1-T2V-1.3B --local-dir /models/wan

# Copy inference script
COPY inference.py /app/inference.py

WORKDIR /app
CMD ["python3", "inference.py"]

# Build and run Docker container
docker build -t wan-video .
docker run --gpus all -p 8080:8080 wan-video

🎨 Prompt Collection

30+ carefully crafted prompts optimized for Wan models. Each includes the full prompt text, recommended model, settings, and tips.

🎬 Cinematic & Film

1. Epic Mountain Landscape

Prompt: Sweeping aerial shot over snow-capped mountains at golden hour, dramatic clouds casting long shadows across alpine valleys, a winding river reflecting the amber sky, cinematic camera movement slowly pushing forward, volumetric lighting, 8K film grain
Model: Wan 2.6 T2V
Duration: 15s
Resolution: 1920×1080
Tips: Enable multi-shot for a more dynamic sequence. Add audio for ambient wind sounds.

2. Urban Night Chase

Prompt: Tracking shot through neon-lit Tokyo streets at night, rain-soaked asphalt reflecting pink and blue neon signs, a figure in a dark coat running through crowds, handheld camera shake, Blade Runner aesthetic, moody atmosphere, cinematic color grading
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Use negative prompt "blurry, low quality, static" for sharper motion.

3. Historical Battle Scene

Prompt: Wide establishing shot of a medieval battlefield at dawn, thousands of soldiers in formation, banners waving in the wind, mist rolling across the field, dramatic orchestral music feel, Lord of the Rings inspired cinematography, epic scale, film grain
Model: Wan 2.6 T2V
Duration: 15s
Resolution: 1920×1080
Tips: Multi-shot mode works exceptionally well here for cut transitions between wide and close-up shots.

4. Underwater Documentary

Prompt: Slow underwater tracking shot through a vibrant coral reef, tropical fish swimming in formation, sunbeams penetrating the crystal-clear blue water, a sea turtle gliding gracefully through the frame, National Geographic style, 4K clarity
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Add "smooth camera movement, steady" to avoid shaky underwater artifacts.

5. Noir Detective Scene

Prompt: Close-up of a detective in a dimly lit office, cigarette smoke curling through a single shaft of light from venetian blinds, black and white film noir style, slow camera dolly in, dramatic shadows, 1940s aesthetic, grain texture
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1280×720
Tips: Specify "black and white, monochrome" explicitly for consistent noir look.

🌶️ NSFW / Creative Freedom (Wan 2.2 Spicy)

6. Classical Figure Study

Prompt: Renaissance-style figure study, soft diffused lighting on skin, classical painting composition, marble sculpture coming to life with subtle breathing movement, warm golden tones, museum gallery setting, artistic and elegant
Model: Wan 2.2 Spicy I2V
Price: from $0.03/s
Tips: Pair with a classical painting or sculpture reference image for best results.

7. Fashion Editorial Avant-Garde

Prompt: High fashion editorial, model in sheer flowing fabric, dramatic wind effect, stark white studio lighting, Helmut Newton inspired, bold poses transitioning fluidly, haute couture, magazine quality
Model: Wan 2.2 Spicy I2V
Price: from $0.03/s
Tips: Use LoRA variant for consistent style across multiple generations.

8. Artistic Body Movement

Prompt: Contemporary dance performance, fluid body movement, dramatic stage lighting, dancer's silhouette against colored backdrop, artistic expression through motion, modern ballet, intimate camera angles, professional choreography
Model: Wan 2.2 Spicy I2V
Price: from $0.03/s
Tips: Image-to-video works best — provide a dancer reference image.

9. Mythological Scene

Prompt: Birth of Venus reimagined, goddess emerging from ocean waves, flowing golden hair, seashells and foam, Pre-Raphaelite painting style, ethereal glow, mythological beauty, Botticelli inspired but cinematic
Model: Wan 2.2 Spicy I2V
Price: from $0.03/s
Tips: Works beautifully with classical art reference images.

10. Cyberpunk Character

Prompt: Cyberpunk character in revealing neon-lit outfit, holographic tattoos glowing on skin, futuristic nightclub setting, pulsing LED lights, confident walking motion, sci-fi fashion, Blade Runner 2049 aesthetic
Model: Wan 2.2 Spicy I2V LoRA
Price: from $0.03/s
Tips: Use LoRA for consistent character appearance across scenes.

📦 Product & Commercial

11. Luxury Watch Showcase

Prompt: Macro close-up of a luxury watch rotating on a black velvet surface, golden light reflections dancing on polished metal, mechanical movement visible through transparent caseback, premium product photography, smooth 360-degree rotation
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Slow, controlled rotation works best. Add "studio lighting, product photography" for commercial quality.

12. Food Commercial — Coffee Pour

Prompt: Slow motion pour of steaming espresso into a white ceramic cup, rich crema forming on surface, steam rising in soft morning light, rustic wooden table, out-of-focus bakery background, food photography, warm color palette, 120fps slow motion feel
Model: Wan 2.6 T2V
Duration: 5s
Resolution: 1920×1080
Tips: Short duration with high detail works better for food content.

13. Sneaker Product Launch

Prompt: Dynamic sneaker reveal, shoe floating and rotating in mid-air against gradient background, particles and light streaks surrounding the product, dramatic lighting transitions, Nike commercial style, clean product visualization
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Use multi-shot for different angles of the same product.

14. Perfume Ad — Ethereal

Prompt: Glass perfume bottle on a reflective surface, golden liquid catching light, slow motion flower petals falling around it, soft bokeh background, luxury brand commercial aesthetic, Chanel No.5 inspired visual, elegant and sophisticated
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Add "glass reflections, caustics, luxury" for premium feel.

15. Tech Product Unboxing

Prompt: Cinematic unboxing of a sleek smartphone, hands slowly lifting the lid of a minimalist white box, device rising with a subtle glow, holographic interface appearing above the screen, Apple keynote style presentation, clean and modern
Model: Wan 2.6 I2V
Duration: 10s
Resolution: 1920×1080
Tips: Use I2V with an actual product image for brand accuracy.

🎨 Animation & Cartoon

16. Anime Sakura Scene

Prompt: Anime style, a young girl standing under a blooming cherry blossom tree, pink petals falling in slow motion, gentle breeze moving her hair and school uniform, soft watercolor background, Studio Ghibli aesthetic, warm spring lighting
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1280×720
Tips: Add "anime, cel-shaded, 2D animation" for consistent style.

17. Pixel Art Adventure

Prompt: Retro pixel art game scene, 16-bit hero character walking through a mystical forest, glowing mushrooms, floating fireflies, parallax scrolling background layers, SNES-era RPG aesthetic, vibrant pixel colors
Model: Wan 2.5 T2V
Duration: 5s
Resolution: 1280×720
Tips: Lower resolution enhances the retro pixel art feel.

18. 3D Cartoon Character

Prompt: Pixar-style 3D animated character, a small robot with big expressive eyes discovering a flower in a post-apocalyptic landscape, WALL-E inspired, smooth character animation, subsurface scattering on plastic materials, Pixar render quality
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Wan 2.6 handles 3D animation styles remarkably well.

19. Comic Book Action

Prompt: Marvel comic book style action sequence, superhero landing pose with impact shockwave, bold ink outlines, halftone dot shading, dynamic camera angle from below, speech bubble appearing, vibrant primary colors, Jack Kirby inspired
Model: Wan 2.6 T2V
Duration: 5s
Resolution: 1280×720
Tips: Short bursts of action work best for comic book style.

20. Watercolor Storybook

Prompt: Watercolor illustration coming to life, a fox and rabbit having a tea party in an enchanted forest clearing, soft paint bleeding effects, storybook page turning animation, children's book illustration style, gentle pastel colors, whimsical
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1280×720
Tips: "Watercolor, illustration, painted" keywords help maintain the artistic style.

🔄 Character Swap (Wan 2.2 animate-mix)

21. Celebrity Impression

Prompt: Professional business presentation, confident speaker at a podium, formal attire, corporate event, smooth gestures and natural speech patterns
Model: Wan 2.2 Character Swap (animate-mix)
Tips: Upload a source video of the presentation and a target face image. Works best with front-facing, well-lit source faces.

22. Historical Figure Revival

Prompt: Historical documentary narration, period-appropriate setting, speaking directly to camera, educational content
Model: Wan 2.2 Character Swap (animate-mix)
Tips: Best results with clear, high-resolution reference photos. Maintain consistent lighting between source and target.

23. Music Video Face Swap

Prompt: Music performance, singer on stage, dynamic lighting, emotional expression, concert atmosphere
Model: Wan 2.2 Character Swap (animate-mix)
Tips: Works well with music videos that have stable face tracking. Avoid extreme head rotations.

🏃 Motion Transfer (Wan 2.2 animate-move)

24. Dance Choreography Transfer

Prompt: Professional dance routine, hip-hop choreography, studio setting, full body visible, clean background
Model: Wan 2.2 Image-to-Animation (animate-move)
Tips: Upload a dance video as motion source and a character image. Full-body shots with clean backgrounds work best.

25. Cartoon Character Animation

Prompt: Animated character performing complex movements, cartoon style, expressive body language
Model: Wan 2.2 Image-to-Animation (animate-move)
Tips: Use a real person's motion video to animate any 2D or 3D character image.

26. Product Mascot Animation

Prompt: Brand mascot performing fun actions, waving, jumping, dancing, engaging personality
Model: Wan 2.2 Image-to-Animation (animate-move)
Tips: Perfect for bringing static brand mascots to life with natural movement.

🌐 Miscellaneous & Advanced

27. Time-Lapse City

Prompt: Hyper-lapse of a modern city skyline from day to night, clouds racing across the sky, lights gradually turning on in skyscrapers, traffic becoming streams of light, star trails appearing, 24-hour cycle compressed into seconds, urban time-lapse
Model: Wan 2.6 T2V
Duration: 15s
Resolution: 1920×1080
Tips: 15s duration is ideal for day-to-night transitions.

28. Nature Macro — Butterfly Emergence

Prompt: Extreme macro shot of a monarch butterfly emerging from chrysalis, iridescent wing scales unfolding in slow motion, morning dew drops on wings, shallow depth of field, nature documentary quality, BBC Earth style
Model: Wan 2.6 T2V
Duration: 10s
Resolution: 1920×1080
Tips: Macro subjects with slow, deliberate motion produce stunning results.

29. Sci-Fi Space Station

Prompt: Exterior shot of a massive space station orbiting Earth, ISS-inspired design but futuristic, solar panels rotating to track the sun, a shuttle approaching for docking, Earth's blue glow illuminating the structure, Interstellar cinematography
Model: Wan 2.6 T2V
Duration: 15s
Resolution: 1920×1080
Tips: Add audio for immersive space ambience. Multi-shot for interior/exterior cuts.

30. Abstract Art in Motion

Prompt: Abstract fluid art in motion, vibrant acrylic paint pouring and mixing, golden veins forming between color pools, Kandinsky meets Jackson Pollock, mesmerizing organic patterns, satisfying ASMR-like visual, overhead camera view
Model: Wan 2.5 T2V
Duration: 10s
Resolution: 1280×720
Tips: Abstract content is very forgiving and consistently produces beautiful results.

31. Wan 2.6 R2V — Character Reference

Prompt: Upload a reference video of a person (captures look + voice), then generate them in a new scene: walking through a futuristic city, interacting with holographic displays, maintaining exact appearance and voice characteristics
Model: Wan 2.6 R2V (Reference-to-Video)
Duration: 10s
Resolution: 1920×1080
Tips: Wan 2.6 R2V maintains character identity (appearance + voice) from a reference video. Provide 3-5 second reference clip for best results.

32. Multi-Shot Narrative

Prompt: Shot 1: Wide establishing shot of a cozy café on a rainy Parisian street. Shot 2: Close-up of hands wrapping around a steaming coffee cup. Shot 3: Looking out the window as rain streams down the glass. Shot 4: Slow zoom out revealing the full café scene with warm interior lighting.
Model: Wan 2.6 T2V (Multi-Shot)
Duration: 15s
Resolution: 1920×1080
Tips: Use the multi-shot feature by separating scenes with "Shot N:" prefix. Wan 2.6 will create smooth transitions between shots.

🖥️ Local Deployment Guide

Hardware Requirements

Component	Wan 2.6 (14B)	Wan 2.1 (14B)	Wan 2.1 (1.3B)
GPU VRAM	24GB+	24GB+	8.19GB
Recommended GPU	RTX 4090 / A100	RTX 4090 / A100	RTX 3060 12GB
System RAM	32GB+	32GB+	16GB
Disk Space	~56GB	~28GB	~5GB
OS	Linux / Windows	Linux / Windows	Linux / Windows
CUDA	12.1+	11.8+	11.8+

ComfyUI Setup (Step-by-Step)

# ======== Step 1: Install ComfyUI ========
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI

# Create virtual environment (Recommended)
python -m venv venv
source venv/bin/activate  # Linux/Mac
# venv\Scripts\activate   # Windows

# Install PyTorch (CUDA 12.1)
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

# Install ComfyUI dependencies
pip install -r requirements.txt

# ======== Step 2: Install Wan Nodes ========
cd custom_nodes
git clone https://github.com/Wan-Video/ComfyUI-Wan.git
cd ComfyUI-Wan
pip install -r requirements.txt
cd ../..

# ======== Step 3: Download Models ========
# Option A: Full 14B model (Recommended, but requires 24GB+ VRAM)
huggingface-cli download Wan-AI/Wan2.6-T2V-14B \
    --local-dir models/wan2.6-14b/

# Option B: Lightweight 1.3B model (only needs 8.19GB VRAM)
huggingface-cli download Wan-AI/Wan2.1-T2V-1.3B \
    --local-dir models/wan2.1-1.3b/

# ======== Step 4: Launch ComfyUI ========
python main.py --listen 0.0.0.0 --port 8188

# Open in browser http://localhost:8188
# Import Wan workflow nodes to start using

GPU Memory Optimization Tips

"""
VRAM optimization tips to help run Wan models on consumer GPUs
"""
import torch
from diffusers import WanPipeline

# Tip 1: Use half-precision floating point (save approximately 50% VRAM)
pipe = WanPipeline.from_pretrained(
    "Wan-AI/Wan2.1-T2V-14B",
    torch_dtype=torch.float16  # Use FP16 instead of FP32
)

# Tip 2: Enable attention slicing (significantly reduce peak VRAM usage)
pipe.enable_attention_slicing(slice_size="auto")

# Tip 3: Enable VAE slicing (progressively decode video frames)
pipe.enable_vae_slicing()

# Tip 4: Enable CPU offload (automatically move inactive modules to CPU)
pipe.enable_model_cpu_offload()

# Tip 5: Use xformers for acceleration (requires additional installation of xformers)
# pip install xformers
pipe.enable_xformers_memory_efficient_attention()

# Tip 6: Reduce resolution and frame count
video = pipe(
    prompt="Your prompt here",
    num_frames=49,       # Reduce frame count (49 frames ≈ 3 seconds)
    height=480,          # Reduce resolution
    width=720,
    guidance_scale=7.5
).frames[0]

# Tip 7: Use 1.3B model instead of 14B
# 1.3B model only needs 8.19GB VRAM, quality remains excellent
pipe_light = WanPipeline.from_pretrained(
    "Wan-AI/Wan2.1-T2V-1.3B",
    torch_dtype=torch.float16
).to("cuda")

✍️ Prompt Engineering

Wan-Specific Keywords That Work Well

Category	Effective Keywords
Quality	`8K, cinematic, film grain, high detail, professional, masterpiece`
Camera	`tracking shot, dolly zoom, aerial shot, close-up, macro, wide angle`
Lighting	`golden hour, volumetric lighting, rim lighting, neon glow, soft diffused`
Motion	`slow motion, time-lapse, smooth pan, gentle movement, dynamic action`
Style	`photorealistic, anime, watercolor, oil painting, cyberpunk, noir`
Mood	`dramatic, ethereal, cozy, epic, melancholic, whimsical`

Negative Prompt Strategies

# Recommended universal negative prompts
blurry, low quality, distorted, deformed, ugly, bad anatomy,
watermark, text overlay, logo, pixelated, noise, artifacts,
oversaturated, underexposed, static image, no movement,
extra fingers, missing limbs, unnatural proportions

Multi-Shot Techniques (Wan 2.6)

# Multi-shot narrative template
Shot 1: [Wide/Establishing] - Set the scene with environment and context
Shot 2: [Medium] - Introduce the subject or character
Shot 3: [Close-up] - Emotional detail or key action
Shot 4: [Wide/Pull-back] - Resolution or reveal

# Example: Coffee commercial multi-shot
Shot 1: Aerial view of a Colombian coffee plantation at sunrise, morning mist.
Shot 2: Farmer's weathered hands picking ripe coffee cherries.
Shot 3: Extreme close-up of coffee beans being roasted, oils glistening.
Shot 4: Steam rising from a freshly poured cup in a modern café.

Audio Generation Control (Wan 2.6)

Wan 2.6 supports native audio synchronization. Tips for best results:

Environmental sounds are generated automatically based on visual content
Add audio-specific cues in your prompt: "birds chirping", "rain on window", "crowd cheering"
Audio quality improves with longer duration (10-15s)
Use audio: true in API calls to enable audio generation

Resolution vs Speed Tradeoffs

Resolution	VRAM Usage	Generation Time	Best For
1920×1080	~24GB	~3-5 min	Final production
1280×720	~16GB	~1-3 min	Draft & testing
854×480	~10GB	~30-60s	Rapid prototyping
640×360	~8GB	~15-30s	Quick preview

💰 API Pricing Comparison

Provider	Wan 2.6 T2V	Wan 2.5 T2V	Wan Spicy 🌶️	Key Features
Atlas Cloud ⭐	from $0.07/s (70% off)	Lower	from $0.03/s	✅ All models, NSFW, LoRA, V2V, Multi-shot
Alibaba Cloud	$0.10+	$0.08+	N/A	⚠️ Region restricted, no NSFW
Replicate	$0.15+	$0.12+	Limited	Basic API only
Self-hosted	GPU cost/hr	GPU cost/hr	GPU cost/hr	✅ Full control, ❌ maintenance burden

Prices shown are starting prices per second of generated video. Actual cost depends on resolution, duration, and model selected.

Cost Breakdown Example

Use Case	Model	Videos/Month	Atlas Cloud Cost	Self-Hosted (A100)
Social Media Creator	Wan 2.6 T2V	500	$35/mo	~$500/mo
NSFW Art Creator	Wan Spicy	1,000	$30/mo	~$500/mo
Commercial Production	Wan 2.6 T2V	100	$7/mo	~$500/mo
Hobbyist	Wan 2.5 T2V	50	<$5/mo	~$500/mo

💡 Pro tip: Sign up for Atlas Cloud and get 25% bonus on your first recharge (up to $100 bonus). That's up to 1,785 Wan Spicy videos or 1,785+ Wan 2.6 videos for $100+$25 bonus!

Atlas Cloud vs fal.ai Pricing

Model	fal.ai Price	Atlas Cloud Price	You Save
Kling	$0.224/sec (5s = $1.12)	from $0.204/s	82% cheaper
Seedance	~$0.26/video	from $0.044/s	15% cheaper
Wan 2.5	$0.05/sec (5s = $0.25)	from $0.05/s	80% cheaper
Wan 2.6	Similar pricing	from $0.07/s	Competitive
Veo 3	$0.40/sec (8s = $3.20)	TBD	Coming soon
Vidu Q3-Pro	—	from $0.06/s	Atlas exclusive
Vidu Q3-Turbo	—	from $0.034/s	Atlas exclusive

Prices shown are starting prices per second of generated video. Actual cost depends on resolution, duration, and model selected.

💡 Atlas Cloud offers the lowest prices across all major video models. Switch from fal.ai and save up to 82% on your video generation costs.

📚 Official Resources

Model Weights & Downloads

Resource	Link	Notes
Hugging Face — Wan-AI	huggingface.co/Wan-AI	All model weights
ModelScope — Wan	modelscope.cn/Wan-Video	Alternative download (faster in Asia)
Wan 2.6 T2V 14B	HF Link	Latest text-to-video
Wan 2.6 I2V 14B	HF Link	Latest image-to-video
Wan 2.1 T2V 1.3B	HF Link	Lightweight, consumer GPU

Papers & Research

Paper	Link	Description
Wan 2.1 Technical Report	arXiv	Architecture & training details
VBench Leaderboard	vbench.org	Benchmark rankings

Official GitHub Repositories

Repository	Description
Wan-Video/Wan2.6	Wan 2.6 official code
Wan-Video/Wan2.1	Wan 2.1 official code

🌐 Community & Ecosystem

ComfyUI Extensions

Extension	Description	Stars
ComfyUI-Wan	Official Wan nodes for ComfyUI	⭐
ComfyUI-WanVideoWrapper	Community wrapper with extra features	⭐

LoRA Models & Fine-Tuning

Resource	Description
Civitai — Wan LoRAs	Community-trained LoRA models
Wan LoRA Training Guide	Official fine-tuning documentation

Community Hubs

Platform	Link
Reddit — r/WanVideo	reddit.com/r/WanVideo
Discord — Wan Community	Community Discord server
Twitter/X — #WanVideo	Search #WanVideo

Tutorials & Guides

Title	Type	Link
Wan 2.6 Complete Guide	Video	YouTube
ComfyUI + Wan Workflow	Article	Blog
Wan LoRA Training Tutorial	Video	YouTube
Wan vs Kling vs Sora Comparison	Article	Blog

❓ FAQ

What is the Wan AI video model?

Wan is Alibaba's video generation model series. Wan 2.1 and 2.2 are open-source (Apache 2.0) with weights available on Hugging Face for self-deployment, while Wan 2.5 and 2.6 are closed-source commercial API models. It uses a diffusion transformer architecture trained on 1.5 billion videos and 10 billion images. The Wan 2.1 model achieved the #1 position on the VBench leaderboard with a score of 86.22%, surpassing Sora (84.28%) and Luma (83.61%). The latest version is Wan 2.6, which supports multi-shot 1080p video generation up to 15 seconds with native audio synchronization, available via API.

How to run Wan locally?

You can run Wan locally using:

ComfyUI — Install the Wan ComfyUI nodes and download model weights
Hugging Face Diffusers — Use the WanPipeline class in Python
Docker — Deploy with our provided Dockerfile

The 1.3B model requires only 8.19GB VRAM, making it accessible on consumer GPUs like the RTX 3060. The 14B model needs 24GB+ VRAM (RTX 4090 or A100).

See the Local Deployment Guide for step-by-step instructions.

Wan vs Seedance vs Kling — Which is better?

Feature	Wan 2.6	Seedance	Kling
Open Source	❌ (2.1/2.2 are open)	❌	❌
Max Duration	15s	10s	10s
Audio	✅	❌	❌
Multi-Shot	✅	❌	❌
NSFW	✅ (Spicy)	❌	❌
Local Deploy	❌ (2.1/2.2 can)	❌	❌
API Price	From $0.03	$0.20+	$0.30+

Wan wins on: pricing, NSFW support, and features. Wan 2.1/2.2 offer open-source flexibility with local deployment, while Wan 2.5/2.6 provide cutting-edge quality via API. Seedance and Kling may have slightly different motion quality for specific use cases, but Wan's rapid iteration makes it the best long-term choice.

What is the best GPU for Wan 2.6?

GPU	VRAM	Can Run	Performance
RTX 3060 12GB	12GB	✅ (1.3B only)	Basic
RTX 3090	24GB	✅ (14B with optimization)	Good
RTX 4090	24GB	✅ (14B full speed)	Excellent
A100 40GB	40GB	✅ (all models, batch)	Professional
A100 80GB	80GB	✅ (all models, high batch)	Enterprise

Budget recommendation: RTX 4090 for local deployment, or use Atlas Cloud API from $0.03/s if you don't want to invest in hardware.

Is there an uncensored Wan model?

Yes! The Wan 2.2 Spicy 🌶️ is an uncensored/NSFW variant that allows unrestricted creative content generation. It's available via:

Atlas Cloud API at just from $0.03/s — the cheapest uncensored video generation API available
Models: alibaba/wan-2.2-spicy/image-to-video and alibaba/wan-2.2-spicy/image-to-video-lora (with LoRA support)

Try Wan 2.2 Spicy on Atlas Cloud →

How much does Wan video generation cost via API?

Atlas Cloud offers the most affordable Wan API pricing:

Wan 2.2 Spicy (NSFW): from $0.03/s
Wan 2.6 T2V (1080p, 15s): from $0.07/s (70% discount)
Wan 2.5 variants: Even lower pricing
25% bonus on first recharge (up to $100)

Compare this to Sora ($0.50+/video) or Runway ($0.50+/video). Get started →

What is Wan 2.6 R2V?

Wan 2.6 R2V (Reference-to-Video) is a unique feature where you upload a character reference video that captures both the person's appearance and voice. The model then generates new video scenes featuring that same character with consistent identity. This is perfect for creating virtual avatars, personalized content, and character-driven narratives.

When is Wan 2.7 coming out?

Wan 2.7 is expected around March 2026, following the consistent release cadence of the Wan series (2.1 in Q4 2024, 2.2 in Q1 2025, 2.5 in Q2 2025, 2.6 in Q3 2025). Based on each version's progression, Wan 2.7 is likely to bring longer video duration (20s+), possible 4K resolution support, better motion control, improved character consistency, and enhanced audio synchronization. See the Wan 2.7 section for a detailed breakdown.

Wan 2.7 will be available on Atlas Cloud upon release. Sign up for Atlas Cloud to be notified when Wan 2.7 launches.

🌊 Start Creating with Wan Models

From $0.03/s with Wan Spicy to $0.07/s for Wan 2.6 — the most affordable AI video generation API.


✅ Uncensored	Wan 2.2 Spicy for unrestricted creativity
✅ Open Source (2.1/2.2)	Run locally or use via API
✅ Wan 2.7 Coming March 2026	Longer duration, higher resolution, better control
✅ 25% Bonus	On first top-up (up to $100 bonus)
✅ All Models	T2V, I2V, V2V, Image-Edit, Character Swap, Animation

No GPU required. No setup. Just prompts and videos.

⭐ Star History

If you find this resource helpful, please give it a star! It helps others discover the Wan ecosystem.

🤝 Contributing

Contributions are welcome! Please read the contribution guidelines before submitting a PR.

How to Contribute

Fork this repository
Create your feature branch: git checkout -b add-new-resource
Add your resource in the appropriate section
Commit your changes: git commit -m 'Add new resource'
Push to the branch: git push origin add-new-resource
Submit a pull request

What We're Looking For

New Wan model tools, extensions, and integrations
Community tutorials and guides
LoRA models and fine-tuning resources
Prompt examples with sample outputs
Benchmark results and comparisons
Translations to other languages

📄 License

This work is licensed under the MIT License.

🌊 Wan — Pushing the Boundaries of AI Video Generation 🌊

Made with ❤️ by the open-source community

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🌊 Awesome Wan Video Generation

📑 Table of Contents

🔥 Wan 2.7 — Coming Soon

Wan 2.6 — The Current Baseline

Expected Wan 2.7 Improvements

Version Timeline

🌊 About Wan Models

Why Wan?

Model Family Tree

Key Differentiators vs Closed-Source Models

📊 Model Comparison

Available Models on Atlas Cloud

🚀 Quick Start

Option 1: API (Atlas Cloud) — Fastest Way

Option 2: Local Deployment (ComfyUI)

Option 3: Hugging Face Pipeline

Option 4: Docker Deployment

🎨 Prompt Collection

🎬 Cinematic & Film

🌶️ NSFW / Creative Freedom (Wan 2.2 Spicy)

📦 Product & Commercial

🎨 Animation & Cartoon

🔄 Character Swap (Wan 2.2 animate-mix)

🏃 Motion Transfer (Wan 2.2 animate-move)

🌐 Miscellaneous & Advanced

🖥️ Local Deployment Guide

Hardware Requirements

ComfyUI Setup (Step-by-Step)

GPU Memory Optimization Tips

✍️ Prompt Engineering

Wan-Specific Keywords That Work Well

Negative Prompt Strategies

Multi-Shot Techniques (Wan 2.6)

Audio Generation Control (Wan 2.6)

Resolution vs Speed Tradeoffs

💰 API Pricing Comparison

Cost Breakdown Example

Atlas Cloud vs fal.ai Pricing

📚 Official Resources

Model Weights & Downloads

Papers & Research

Official GitHub Repositories

🌐 Community & Ecosystem

ComfyUI Extensions

LoRA Models & Fine-Tuning

Community Hubs

Tutorials & Guides

❓ FAQ

🌊 Start Creating with Wan Models

⭐ Star History

🤝 Contributing

How to Contribute

What We're Looking For

📄 License

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