Prompt Extend is live · free · last verified 4 Nov 2026 · viability monitor
Prompt Extend
Prompt Extend is a dead Hugging Face Space that expanded short Stable Diffusion prompts — the weights still run if you self-host.
Read the traceback before anything else: this demo is down, killed by a launch() argument Gradio retired, and the repo hasn't changed since December 2022. If you want to study how a text-generation model got wired into a Gradio prompt expander back then, it's a serviceable specimen. If you need prompt expansion in a browser today, it isn't a tool — it's a broken tab.
Verdict generatedVerified 9d ago · liveness 64/100 · cite: rightaichoice.com/tools/prompt-extend
- Developers reverse-engineering how a text-generation model was wrapped in a Gradio prompt expander
- Anyone willing to fork app.py, remove the dead launch argument and self-host
- Writers documenting early Stable Diffusion prompt-engineering patterns
- Tinkerers who want a private prompt expander with no account and no cost
- Anyone who needs prompt expansion working in a browser today — the Space exits with code 1
- Production or client work depending on uptime, support or an API endpoint
- Users who want length controls, style presets or batch processing
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Skip Prompt Extend if you need prompt expansion that actually runs today — the hosted Space errors out at app.py line 27 and exits with code 1, so only a self-hosted fork after removing the stale enable_queue argument will work.
The Space itself is free to open and the model weights are ungated, so there is no vendor pricing to weigh. Your real cost is self-hosting: forking app.py and running the fine-tuned daspartho/prompt-extend model yourself means paying whichever compute you host it on, which is exactly why a free public Space was the original delivery model.
In short
Prompt Extend — Prompt Extend is a dead Hugging Face Space that expanded short Stable Diffusion prompts — the weights still run if you self-host. Best for Developers reverse-engineering how a text-generation model was wrapped in a Gradio prompt expander, Anyone willing to fork app.py, remove the dead launch argument and self-host, Writers documenting early Stable Diffusion prompt-engineering patterns. Free to use.
What is Prompt Extend?
Prompt Extend — Prompt Extend is a dead Hugging Face Space that expanded short Stable Diffusion prompts — the weights still run if you self-host. Best for Developers reverse-engineering how a text-generation model was wrapped in a Gradio prompt expander, Anyone willing to fork app.py, remove the dead launch argument and self-host, Writers documenting early Stable Diffusion prompt-engineering patterns. Free to use.
Prompt Extend was a Hugging Face Space by Partho Das (daspartho) that took a terse Stable Diffusion prompt and grew it into a longer string larded with medium, period and lighting cues. The engine behind it is published openly as daspartho/prompt-extend, an ungated text-generation model with 355 downloads and 37 likes, last modified 2022-12-20. The interface is a single Gradio Blocks app: one prompt box in, an expanded prompt out. The hosted tab is not working. Today's scrape still shows the Runtime error banner and exit code 1, with the container log naming the exact cause: `iface.launch(enable_queue=False)` at app.py line 27 throws `TypeError: Blocks.launch() got an unexpected keyword argument 'enable_queue'`. Gradio dropped that argument years ago and nobody has patched the app. The Space still carries 423 likes and 9 community posts, and links no datasets and no collections. What survives is the code and the weights. Copy app.py, delete the dead kwarg, point the pipeline at the model repo, and you have a private prompt expander with no signup. Or skip Gradio entirely and call the text-generation weights from your own script — they're ungated and free to pull. Measured against current prompt-enrichment tools, it offers no style presets, no length control, no batch mode and no history. Its worth now is as a 2022 artifact of Stable Diffusion prompt engineering, useful for studying how a small text-generation model gets wrapped in a demo. Recent Hugging Face platform work — Google Cloud Marketplace billing, resource-group scoping, MCP Server tooling — does nothing for a Space that has been offline for years.
Key features
- Expands short Stable Diffusion prompts with medium, period and lighting cues
- Fine-tuned text-generation model published as daspartho/prompt-extend
- Ungated public weights on the Hugging Face Hub (355 downloads, 37 likes)
- Single-input Gradio Blocks interface: prompt box in, expanded prompt out
- Readable app.py you can copy and run locally
- Self-hostable prompt expander with no account or hosting bill
- 423 likes and 9 community posts on the Space page
- Broken hosted runtime: TypeError on the enable_queue launch argument at app.py line 27
- Container exits with code 1 on CPU; page shows a Runtime error banner
- Space tags: gradio, region:us
- No linked datasets and no linked collections
- Model repo last modified 2022-12-20
Behind the verdict
We'd reach for Prompt Extend as a teaching example, not as software. The whole thing is one Gradio Blocks app plus a small text-generation model, and the failure is instructive: a single obsolete keyword argument took the demo offline and nobody came back to fix it. Anyone learning to wrap a Hugging Face model in a UI can read app.py end to end in a few minutes. If you actually want prompt expansion this afternoon, pass. The Space throws a TypeError at app.py line 27 before the UI ever loads, so there's nothing to click. No style presets, no target length, no batch input, no history — the interface was one box and one button even when it worked. Self-hosting is the only live path. Clone the Space, strip `enable_queue=False`, install a current Gradio, and run it against daspartho/prompt-extend. The weights are ungated on the Hub, so there's no token to configure. Expect the output style to feel dated: the model was tuned on 2022-era Stable Diffusion phrasing, heavy on medium and lighting adjectives. Where it bites is expectations. People land on the page, see 423 likes, and assume a working tool. It isn't. The likes date from when it ran. As a comparison point, take any maintained prompt-enrichment service or just ask a current chat model to elaborate your prompt — both give you length control and iterate on output. Prompt Extend gives you a fixed, unmaintained expansion with no knobs. Pick it for the code, the weights, or the history lesson. Pass it for anything with a deadline.
Models under the hood
as of 2026-11-09
Limitations
- The hosted Space currently shows a Runtime error: iface.launch(enable_queue=False) raises TypeError: Blocks.launch() got an unexpected keyword argument 'enable_queue', and the page displays a Runtime error banner.
- The linked text-generation model daspartho/prompt-extend was last modified 2022-12-20.
- The app is a single-input Gradio Blocks interface with no output or length controls, and support is limited to the Space's Community tab.
as of 2026-10-10
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Is Prompt Extend still active?
Prompt Extend is live · free · last verified 4 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is Prompt Extend? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What's new in Prompt Extend
Checked todayAcross the latest 8 updates: 1 feature update, 1 launch, 4 changelog entries and 2 news mentions.
Hugging Face joins Google Cloud Marketplace
Orgs can subscribe via their Google Cloud account; Inference Providers, Endpoints, Spaces, Jobs, storage and seats bill to the existing cloud invoice.
LeRobot datasets get episode previews on the Hub
LeRobot dataset pages now play all cameras on one shared transport, with episode list hover previews and robot type plus episode count in listings.
oMLX creator Jun Kim joins Hugging Face for MLX community
Jun Kim, creator and maintainer of oMLX, joins Hugging Face to support the MLX open-source community.
Transformers now runs llama.cpp quants
Hugging Face Transformers adds support for running llama.cpp GGUF quantization formats directly.
tokenizers v1 released: encode, decode and scaling measured
Hugging Face ships tokenizers v1 with rewritten encode and decode paths and published scaling benchmarks.
Granular feature access by resource group
Feature access can now be scoped per resource group instead of only by organization role, so Jobs, Inference Endpoints and blog rights can be limited separately.
Filter HF Jobs by label
Jobs pages for users and organizations now support label filtering, with clickable chips for frequent labels and a free-form key=value input.
MCP Server enhancements cut token overhead
Hugging Face MCP Server adds the hf_fs tool for repository, storage, docs and paper access in about 1,000 tokens, plus sandboxes attached to buckets and repos.
What do users say about Prompt Extend?
What people actually say about Prompt Extend — is it worth it?
Our community sentiment research written Jul 24, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Prompt Extend — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 4 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Prompt Extend 13 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed pricing page
- — changed our verdict, pricing tiers, description, who should skip it, summary, features
- — changed pricing page, limitations
- — changed features, our verdict, pricing tiers, summary, description
- — changed limitations, pricing page
- — changed description, who it suits, our verdict, pricing tiers, features, summary, who should skip it
Showing the 6 most recent of 13 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Prompt Extend cost in 2026?
Prompt Extend: Free to use. Pricing last verified 4 Nov 2026.
Plans compared
Every published Prompt Extend tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | — |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Prompt Extend's pricing actually pencils out — and where peers do it cheaper.
The Space itself is free to open and the model weights are ungated, so there is no vendor pricing to weigh. Your real cost is self-hosting: forking app.py and running the fine-tuned daspartho/prompt-extend model yourself means paying whichever compute you host it on, which is exactly why a free public Space was the original delivery model.
Has Prompt Extend's pricing changed?
No plan price for Prompt Extend has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Prompt Extend?
Pick Prompt Extend if you are Developers reverse-engineering how a text-generation model was wrapped in a Gradio prompt expander, Anyone willing to fork app.py, remove the dead launch argument and self-host, Writers documenting early Stable Diffusion prompt-engineering patterns, Tinkerers who want a private prompt expander with no account and no cost.
Look elsewhere if you are Anyone who needs prompt expansion working in a browser today — the Space exits with code 1, Production or client work depending on uptime, support or an API endpoint, Users who want length controls, style presets or batch processing, Teams expecting maintenance — the model has sat untouched since 2022-12-20.
Skip it if Skip Prompt Extend if you need prompt expansion that actually runs today — the hosted Space errors out at app.py line 27 and exits with code 1, so only a self-hosted fork after removing the stale enable_queue argument will work.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Prompt Extend actually fits — and what changes day-one when you adopt it.
Open the Space, read the Runtime error banner and the traceback pointing at app.py line 27, then read app.py to see how the model call and interface are wired.
Outcome: You get a concrete, short case study in Gradio launch-API drift and a working reference for prompt-expansion inference you can adapt.
Fork the Space repository, delete the enable_queue argument from iface.launch(), and run it on your own machine against the ungated daspartho/prompt-extend weights.
Outcome: You end up with a prompt expander that needs no account and no API key, and you control the prompts you type into it.
Compare a bare prompt like "a cat" against the expanded output style the model was fine-tuned to produce — media, artist and lighting descriptors appended in sequence.
Outcome: You see the 2022 convention for style-heavy Stable Diffusion prompts written out explicitly, which you can then reproduce by hand in any current tool.
Use cases
- Turn a basic prompt into a longer, style-rich one for Stable Diffusion
- See how period, medium and lighting cues get appended automatically
- Generate prompt variations quickly while iterating on an image
- Study prompt engineering by watching how a short phrase is expanded
- Fork the code, remove the stale Gradio argument, and run a private prompt expander
Setup time & first value
How long it actually takes to get something useful out of Prompt Extend — broken out by persona, not the marketing-page minute.
Reading the traceback and app.py takes about five minutes. Forking the repo, removing the enable_queue argument and getting it running locally depends entirely on your own Python and model-download setup — the hosted Space gives you no first value at all because it exits code 1 on CPU.
Switching to or from Prompt Extend
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From writing prompts by hand: fork the Space, patch the launch argument, self-host it and use the model's expansions as a starting draft.
- →From a maintained prompt assistant: copy the style, artist and lighting tokens you rely on out of the expander output before you leave, since this Space has no export or history feature.
- ↗To a maintained prompt assistant: take the token patterns you learned here — medium, artist, lighting — and apply them in a tool that has uptime and updates.
- ↗To writing prompts yourself: keep a short list of the descriptor categories this model appended and reuse them manually in any image tool.
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Prompt Extend”, and we withheld 6: 6 did not mention Prompt Extend. We are showing none, because we could not prove any of them are about Prompt Extend.
Official links
What are the best Prompt Extend alternatives?
The closest alternatives to Prompt Extend we list are Janus Pro, Stable Diffusion KMP and Fashn Vton. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Janus Pro | Freemium | Pricing not published | — |
| Stable Diffusion KMP | Free | Free | — |
| Fashn Vton | Freemium | Pricing not published | — |
Alternatives to Prompt Extend
View all
Janus Pro
Janus Pro merges image understanding and text-to-image generation in one MIT-licensed model you can run or self-host.
Stable Diffusion KMP
Open-source Kotlin Multiplatform Stable Diffusion client for Android and iOS with self-hosted, cloud, and on-device backends.
Fashn Vton
FASHN VTON v1.5 brings maskless, pixel-space virtual try-on with Apache 2.0 code and weights you can self-host.
Tools that pair well with Prompt Extend
Common stack mates teams adopt alongside Prompt Extend, with the specific reason each pairing earns its keep.
Janus Pro
Janus Pro merges image understanding and text-to-image generation in one MIT-licensed model you can run or self-host.
Stable Diffusion KMP
Open-source Kotlin Multiplatform Stable Diffusion client for Android and iOS with self-hosted, cloud, and on-device backends.
Fashn Vton
FASHN VTON v1.5 brings maskless, pixel-space virtual try-on with Apache 2.0 code and weights you can self-host.
Prompt Extend vs its closest rival
Prompt Extend's closest head-to-head is with The New Black.
Our Prompt Extend vs The New Black verdict written Jul 5, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
Categories
Best-of guides
For makers of Prompt Extend
- Get a Verified Listing for Prompt Extend ($39): a written decision within 1 working day.
- Free listing for another tool: Free reviews are decided in order, within 3 weeks of the review starting.
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