ChatGPT

byOpenAI

The thinking layer of your canvas: expand a one-line idea into a treatment, read a reference image, and hand clean prompts to every node downstream

Half-scale dress form in an unfinished, basted charcoal wool coat on grey, on an oxblood catalogue page titled Half-Scale Coat Study

How ChatGPT works

You choose a tier, set a voice once, attach a reference if you have one, and ask for a defined deliverable. The reply is plain text, ready to drop into the next node's prompt box.

ChatGPT node set to gpt-6-luna with a prompt-writer system prompt, returning one-line image prompts for textile mills

Pick a tier for the job

Choose fast and cheap for brainstorming, or a deeper tier for treatments, long scripts and dense image critique.

Prompt, a 1974 knitwear photo and a 1950s couture photo wired into a ChatGPT node that answers in four dry lines

Set the voice, attach references

Write your role, voice and output format once in the system prompt, then attach images you want it to read.

ChatGPT node output: an eight-shot list for a seamstress finishing a called-off wedding dress, one pipe-separated line per shot

Send and pipe the text on

Ask for a specific deliverable, then wire the plain-text response into image, video or audio nodes.

What ChatGPT is good at

Fluent, organized writing that takes direction: it reads images, follows camera and lighting vocabulary, holds a brand voice, and spans fast drafting tiers to deep-reasoning ones.

1974 knitwear catalogue cover beside a rust panel with ChatGPT's fix and five numbered notes on its hierarchy and colour

Reads your reference images

Attach a poster, layout or screenshot and get notes on type hierarchy, palette and composition. Say what to look at, and the answer stays on target. Images and text attach; video and audio do not.

Backstage Polaroid of a model tying burgundy shoes beside a six-shot list with framing, lens, flash and action

Moodboard to shot list

Hand it a rough idea or a reference frame and get a structured breakdown: shot number, framing, lens, lighting, action. Newer tiers follow camera and lighting vocabulary literally.

Four textile mill photos, 1920s to 1960s, each above the one-line GPT-6 Luna prompt that produced it

Prompts for downstream nodes

Describe the look you want and receive prompts written for image and video models. Use a Luna, mini or nano tier to batch dozens of variations, then a Sol or Astra tier for the hero version.

Six Pennick Mill care labels in one voice, each closing line set large; the mustard tank top row in a mustard band

One brand voice, held steady

Lock tone in the system prompt and every line of copy follows it. The default route covers everyday drafting and structured output; an alternate route stands by as a fallback if the default is throttled.

Made with ChatGPT

A gallery of creative instructions and what comes back: critiques, shot lists, briefs, voiceover and song direction, each written to be handed to a person or another node.

1950s couture coat photo next to a matching rain-cape recreation, above the five-line critique and the prompt

Design critique that ends in a recreate-this-look prompt

Night photo of a cottage window with a finished wedding dress above a shot list, shot 8 set large on amber

A logline unfolded into a parseable shot list

Man in an Aran sweater reading a paper on a ferry deck beside a lookbook brief: mood, palette, materials, camera, avoid

Messy notes become a structured art direction brief

Clothes moth beside a hole in ivory cashmere in an archive, above the moth's deadpan voiceover on burgundy

Scriptwriting with a defined, strange voice

Black poster of four hook lines about a wool-scouring shed in big condensed caps, with tempo notes and an orange cue

Sonic direction and lyric draft in one pass

What people build with ChatGPT

Art directors, designers, filmmakers, prompt writers and copywriters reach for it when a canvas needs a thinking layer that reads references and writes in a defined voice.

Art directors building briefs

01

Paste in notes, mood references and constraints, and get a tidy brief with palette, materials and camera direction your whole team can work from.

Designers wanting a second opinion

02

Attach a layout or UI screenshot and get a read on hierarchy, type and color. Use a deeper tier for dense critique, and a standard tier when you need counting or exact placement.

Filmmakers breaking down scenes

03

Expand a logline or reference frame into shots with framing, lens and lighting, in a format that downstream nodes can parse.

Prompt writers feeding other nodes

04

Describe the look in plain language and get clean, preamble-free prompts for image, video and audio models. Batch variations on a fast tier with last-message-only switched on.

Copywriters guarding brand voice

05

Set the voice in the system prompt once, then draft taglines, product stories and social captions that sound like one author across every run.

ChatGPT specs

Plans and credits
Versions
gpt-6.1-sol, gpt-6-astra, gpt-6-luna, gpt-6-sol, gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, gpt-5.5, gpt-5.4, gpt-5.2, gpt-5.1, gpt-5, gpt-5-mini, gpt-5-nano, gpt-4.1, gpt-4.1-mini, gpt-4.1-nano, gpt-4o, gpt-4o-mini, o1, o3-mini, o3, o4-mini
Inputs
Prompt (text), System Prompt (text)
Output
text

ChatGPT node questions

Yes. The default gpt-6.1-sol has a context window of about 1.05 million tokens, so a full screenplay or brand book fits with room for your instructions. Attach it as text or paste it into the prompt, then say exactly which parts to use, such as tone rules or character names. Ask for one scene or section per run when you need detailed output.

Fuser runs the GPT-6 and GPT-5.5/5.6 tiers, including the default gpt-6.1-sol, with reasoning on, and OpenAI doesn't accept Temperature or Top P while these models reason. Those settings are left out for these tiers, so steer variety with instructions instead, like "give five very different takes". Older tiers such as gpt-4.1 and gpt-4o still respond to Temperature.

Use Luna, mini or nano tiers for quick brainstorming and batches of prompt variations, and Sol or Astra tiers for multi-step work like treatments with continuity, long scripts and dense image critique. As reported, Astra is the deepest, Sol is the near-flagship balance and Luna is fast and cheap. The default gpt-6.1-sol also handles very long pasted documents like a full brand book or screenplay, so there's no need to drop to an older tier like GPT-4.1 for length. Tier names and availability shift quickly, so treat the dropdown as a menu of speed, depth and cost.

No. Only text and images attach to this node, so it can't watch video or listen to audio. It can read still images, such as posters, layouts and screenshots, for composition, palette and type. It also can't generate images, audio or video itself, but it can write the prompts for nodes that do.

Ask for plain prose with no markdown or preamble, and request only the prompt rather than a prompt plus explanation. Define role and format in the system prompt, and set a stop delimiter like ### to end after one prompt. Turn on Last Message Only for independent one-shot calls so earlier turns don't bleed in.

The models come from OpenAI. The lineup spans releases from May 2024 to September 2026, from GPT-4o and the o-series to the GPT-5.x and GPT-6 tiers. The node's default is gpt-6.1-sol.

Try ChatGPT on Fuser

The thinking layer of your canvas: expand a one-line idea into a treatment, read a reference image, and hand clean prompts to every node downstream

Explore all recipes
All articles