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Luma Uni 1 makes and edits images from plain descriptions: say what you want, never what you don't, and name the light. On LUVI it costs 89 credits an image, 96 for an edit; Uni 1 Max costs 220 and 227. Luma suggests 80 to 250 words for a new image and 30 to 100 for an edit.
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Seedream 5.0 Pro and Flash turn one image into a base image plus up to 16 transparent PNG layers. Leave the prompt empty to separate every main element, or name the ones you want, even by box coordinates. The estimate shows up to 612 credits on Flash; the charge follows the layers returned.
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Nano Banana 2.1 reads plain prose and nothing else: describe what should be in the frame, never what shouldn't, and set size and shape in the controls. On LUVI it starts at 80 credits for text-to-image, 83 for an edit and 400 for its video-to-still mode, all at 1k.
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Yes, if your ChatGPT plan lets you add a custom MCP server: add LUVI under Plugins, sign in to your LUVI account, and ChatGPT can quote and run Veo 3.1, Kling, Seedance 2.5 and Nano Banana on your LUVI credits. Name LUVI and the model in the message, and ask for the quote first.
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AI image and video sites come in three kinds: a lab's own app (Midjourney, Google Flow, Kling, Runway), a design suite with AI built in (Canva, Adobe Firefly), and a multi-model platform (Krea, Higgsfield, OpenArt, LUVI Creator). Pick the kind by your job, then the model by the shot.
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Upscaling a clip on LUVI is billed per second of source video: 36 credits a second to 1080p, 48 to 2K. That makes rendering at the cheapest resolution and upscaling afterwards markedly cheaper than rendering large—though it adds pixels, not detail.
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Image 2.0 treats the prompt as a specification and builds a typographic hierarchy from it, so naming the artefact and the levels of type does more than any pile of adjectives. It is also a separate family from the older Grok image models, with two rules inverted. From 80 credits an image.
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Qwen-Image is built to render text, and the way to use that is to quote every visible string and give it a position and a treatment. Negative words in the prompt body are not read; some models carry a separate field for them. A single image quoted 105 credits on Qwen Image Max.
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On GPT Image 2.5, prose and reference images are the whole control surface: no seed, no negative-prompt field, no style dial. The quality tier moves the price far more than the pixels do—a 4K image at medium quality quoted less than a 1024-pixel one at high.
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On Vidu Q3 the style control is documented as ineffective, so the look and the motion energy live in the sentence instead. Its aspect ratio also defaults to 4:3, not 16:9. A five-second clip quoted 510 credits on Q3-Turbo and 1,063 on Q3-Pro at 720p.
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Grok Imagine Video renders picture and sound in the same pass and has no switch to turn the audio off, so a prompt that never names its sound gets whatever the model invents. Negation is ignored here too. Eight seconds at 720p quoted 1,120 credits.
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A PixVerse prompt is three sentences: subject and one action, then one camera move with named light and lens, then constraints written as things that stay intact. Four common words work against you. Five seconds at 720p quoted 600 credits.
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Hailuo takes its camera direction as a bracketed command from a closed list of fifteen, placed inline where the move happens—[Push in], [Tracking shot], [Static shot]. It is also picture only, so every word you spend on sound is wasted. Six seconds start at 380 credits.
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Wan 3.0 reads an additive formula—entity, scene, motion, then the look, then the sound—and it renders audio in the same pass. Leave the camera unnamed and it will cut inside a clip you wanted as one take. Five seconds runs from 400 credits at 480p.
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On Hunyuan3D's image-to-3D modes the text field is not read at all—the model's own contract says it accepts no prompt. Every bit of control you have is in how you prepare the input image. Meshes start at 600 credits on Rapid and 1,000 on Pro.
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Seedream 5.0 Pro has no aspect ratio parameter. The shape lives in size, written as WIDTH*HEIGHT with an asterisk, and a ratio typed into the caption is ignored. Here are the thirteen legal sizes, the thinking switch, and the caption it rewards. From 144 credits per image.
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A multi-model AI platform runs video, image, audio and 3D models from many labs in one workspace, on one balance. Choose one by the exact model versions it carries, whether it prices each run before it starts, and how it helps you prompt each model.
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Nano Banana Pro re-renders the entire image on every edit, so an instruction without a preservation clause changes things you never asked about. Say what changes, say what stays, and point at references as Image 1. Edits start at 175 credits at 1k.
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HappyHorse generates picture and sound together, but it does not infer sound from what it sees: a prompt with no audio line returns a near-silent video. It is also one of the few video models that honors timecoded shots, which is the opposite of the Seedance 2.5 rule.
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FLUX 3 Video renders picture and sound in one pass, so the audio is written into the prompt rather than switched on. Quote every line and give it a visible speaker, or it can appear as text burned into the frame. On LUVI, clips start at 1,870 credits for five seconds at 720p.
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Kling 3 reads a shot as subject, movement and scene first, then camera, light and atmosphere: 60 to 100 words, one camera move, one action. The whole prompt is hard-capped at 2,500 characters and an overrun fails the submission before anything renders.
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Seedance 2.5 reads integer-second timestamps, typed audio channels and one camera move per shot. Most bad results come from prompting it like Seedance 2.0. Here is the structure that works, taken from the guide we run inside LUVI.
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Write Veo 3.1 prompts camera first: cinematography, subject, action, context, style. Put dialogue, effects and ambience into the shot, and switch on Audio Generation, which is off by default on LUVI. Veo 3.1 Lite has no audio. Clips start at 800 credits for eight seconds at 720p.
