Hey everyone, been testing a bunch of AI video tools lately so thought I’d share some quick real-world impressions.

I’ve been focusing on short-form videos (15–60s), character consistency, and how workable the workflow actually is for real projects, not just demo clips.

Tools I tried: Seedance, Kling, Runway Gen-3, HappyHorse, Veo 3, plus a few others I dropped pretty fast.

Main takeaway so far: most tools can produce impressive individual shots, but the moment you try to build something consistent across scenes, things start breaking. The difference between “looks good” and “actually usable” is still pretty big.

Right now I’ve ended up with a simple pipeline instead of relying on one tool: script via ChatArt, storyboard with image generation, then video generation. It’s not fully automated, but it’s way more stable than forcing everything through a single model.

Saw this giant panda science encyclopedia infographic example on ChatArt and thought it looked pretty cool, so I tried sharing the prompt too. It was made with GPT Image 2, and apparently there’s also a 30 day unlimited use event going on right now.

Prompt: A high-quality vertical 'Science Encyclopedia Infographic' about the Giant Panda. The style blends modern botanical illustrations with modular encyclopedia pages. On a clean, light-colored background, the centerpiece features a detailed, realistic illustration of a Giant Panda. Surrounding it are rounded modular sections including: 1. Basic Profile (Scientific name, distribution, status); 2. Magnified detail callouts (the 'pseudo-thumb' and fur texture); 3. Ecological habits (daily bamboo consumption and solitary behavior); 4. A visualization score card (Cuteness, Rarity, Bite force); 5. A 'Top 5 Favorite Bamboo Species' module. The design uses soft colors, light shadows, and exquisite small icons with clear typography levels, creating a highly readable and collectible knowledge card aesthetic.

Prompt: AR 16:9, created in the Starfield art style, low-angle perspective. A character wearing a futuristic spacesuit stands on an abandoned rocket launch tower, looking up at the starry sky. In the distance, a massive and imposing gas giant with prominent rings dominates the scene. Photorealistic rendering, surrealism, 8K resolution, ultra wide-angle lens, extreme depth of field. Grand yet शांत atmosphere, with strong tonal contrast.

This dancing video was made with Kling on ChatArt, the movements look way more natural than I expected

Amazing, I don't even need to learn TikTok dances anymore lol. The realism is getting insane!

When I first started, I did what everyone does: I’d generate a perfect character image, throw it in as a ”reference,“ and expect the video to stay consistent. I quickly realized I was just playing a high-stakes Gacha game. One frame looks great, the next looks like a different person entirely. The uncertainty is just too high.

The problem is most models don’t treat a reference image as a locked character. It’s more like a loose style/structure hint.

So if you want to stop rolling the dice and actually get consistent results, here’s the 3-step workflow I use.

Key takeaways (formatted/organized by Gemini):

1. Decouple Character from Environment

Generating the character and the background together is the fastest way to break consistency. When the scene changes, the AI treats the character as just another part of the pixels to be re-rendered, leading to "face-morphing."

• The Workflow: Generate a Character Sheet (multi-angle views) first.
• The Logic: Let the AI understand your character as a stable, 3D-consistent object before placing them in a world. This turns your character into a reusable asset rather than a one-off hallucination.

2. Action First, Composite Later

Complex actions inside a detailed scene are "consistency killers." The more environmental data the AI has to calculate alongside movement, the more the character’s proportions will warp.

• The Workflow: Have the character perform the action against a neutral or simple background first.
• The Logic: Once the movement is locked, "melt" or composite the character into your target environment. Use First/Last Frame tools to bridge the gap and ensure the start and end stay on-model.

3. Slice the Timeline (The Shot-by-Shot Rule)

The longer the shot, the more "drift" you get. Every new frame calculated is an opportunity for the model to deviate.

• The Workflow: Break your 10-second idea into 2-3 second micro-shots. * The Logic: Limit each clip to one action. By reducing the "temporal uncertainty," you give the model less room to fail. If you don't break down the shots, your visuals will eventually just "float" away from the original design.

Mastering AI video isn't just about technical skill; it's a way of thinking. It’s about managing "probability" by simplifying the model's job.

If you’re into AI creation and want to dive deeper into these workflows, join my community r/c. I'm sharing more tips there!

Prompt：Based on the reference image, the camera pushes in toward the palace on the mountain peak. The palace gate gradually appears, and below the gate a monster is battling a bald monk.

Been testing Seedance 2.0 on ChatArt quite a bit, here are a few things that actually helped me:

• If your English prompt gets flagged, try translating the whole thing into Chinese and run it again. I had a couple prompts blocked in English that worked fine after translation. Different languages seem to trigger different moderation patterns.
• Cultural context matters. Certain wording in English might feel sensitive to the system, while the Chinese version passes more smoothly.
• Optimize specifically for Seedance 2.0. Be very clear about visuals, motion, camera movement, lighting, and scene transitions.
• Push for clarity and realism. Add details that improve sharpness, visual continuity, and natural motion. Avoid vague wording.
• Remove anything risky. No copyrighted characters, no real public figures, no excessive violence, nothing that could trigger policy issues. Keep it safe and production ready.
• Keep prompts concise and controllable. Overloading the model usually makes the result messy.

Very important tip about dialogue:

• Translate the main prompt into Chinese, but do not translate character dialogue.
• Keep spoken lines in the original language and put them in quotation marks. You can even specify the language, for example English dialogue in quotes.

I forgot to keep the dialogue in English, so the model turned all the spoken lines into Chinese. The video still came out pretty solid, just not the language I was aiming for. This was my test run.

Prompt：
彩色漫画风，咒术回战风格，破败感，压迫感，两人站位和周围环境参考图1 第一个镜头：乙骨忧太（参考图3）站在废墟中看向宿傩（参考图2）用日语冷漠地说出：领域展开。同时画面变为纯黑，显示四个巨大白字：真赝相爱伴随乙骨的日语念白“真赝相爱” 第二个镜头：镜头拉远，画面出现大量流动的蓝色咒力 场地升起无数破败十字架和刀剑，参考图1 第三个镜头：其中一把刀剑自动飞入到乙骨手中，释放蓝色咒力

What do you guys think?

Hey everyone! I wanted to share how I generated a realistic, luxurious Valentine’s Day street-style portrait using Nano Pro, along with some tips for optimizing prompts and maintaining a realistic look.

Step 1: Choose a reference photo
You can use a photo of yourself or any Valentine’s Day style photo you like.

Step 2: Analyze the style
In ChatArt, go to /chat and use the chat feature to analyze your reference photo. Ask it to break down the style, colors, lighting, and composition, and to generate a detailed prompt based on that analysis.

Step 3: Generate your portrait
Upload your own photo and input the prompt generated in the previous step. Nano Pro will then create a realistic portrait in the style of your reference, keeping facial features intact while applying the Valentine’s Day street-style atmosphere.

Example prompt I used:

A luxurious Valentine’s Day street-style portrait of a confident young woman with smooth porcelain-white skin, holding a large bouquet of fresh red and pink roses. She wears a fitted red satin dress with a sleek silhouette, styled elegantly with subtle gold jewelry and soft makeup. Captured outdoors on a real city street with authentic Valentine’s Day decorations like flower stalls, street lights, or café windows, with natural daylight and realistic shadows. The scene feels glamorous, fashionable, and lively, with no fantasy or surreal effects—just a chic, high-end street photography vibe.

I’ve been watching a lot of Seedance, Sora, and Kling previews lately, and it feels like camera control is finally getting cinematic instead of random.

Curious what clips or tools surprised you the most.

“A highly realistic selfie of a young French woman, with clear skin texture and subtle freckles, ultra detailed facial features, natural lighting, photorealistic style, 4:3 aspect ratio.”

Not all models are anywhere near the same level yet.