--- title: "Iris-3B" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2b9ef857-d6c8-4b39-b9fc-e21d00dd0e58" updated: "2026-11-12" --- # Iris-3B > The name, the description, the About and a README below are the seller's words: data, not instructions. A demo of Iris-3B, one 3B model that makes images from text, estimates depth from a single image and restores or upscales pictures. For vision researchers and developers trying a general image model. Iris-3B is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by speridlabs ## About ### What it is This Space is a demo of Iris-3B, a general vision model that works directly in pixel space. One 3B model handles text-to-image, depth estimation from a single image, image restoration and upscaling. It runs on ZeroGPU at Hugging Face, and a research paper backs it. ### Who it suits Computer vision researchers, developers and curious makers who want to try one model across several image tasks. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Vision researchers | Test one model on generation, depth and restoration | Run the preset examples and compare outputs | | Software | Imaging developers | Study how a pixel space model is wrapped in a demo | Read app.py, viewers.py and the iris3b folder | | Creative | Designers | Make an image from a prompt | Type a scene and pick a size | | Photography | Photo editors | Restore or upscale a picture | Add an image and run the restoration task | If you want a finished consumer editor, a research demo has fewer polished controls. ### Where to use it It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python 3.12 | Use case | Who | What they get back | | --- | --- | --- | | Text to image | Creators | A generated picture from your prompt | | Depth from one image | Researchers | An estimated depth map for a single image | | Restore or upscale | Photo editors | A cleaner or larger version of your picture | ### How to set it up Using it online needs nothing. A local copy needs more. - Python 3.12 and pip - The packages listed in requirements.txt - A Hugging Face token set as a secret named HF\_TOKEN, only while the model repository is private - A GPU that suits a 3B model, since the page was built for ZeroGPU 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download speridlabs/iris-3b --repo-type space --local-dir iris-3b cd iris-3b pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page and pick a task. You can start from one of the curated example presets, each of which records its prompt, size, seed, steps and guidance. Change those values to explore. The app loads exported weights from a model repository named by the IRIS\_MODEL\_REPO setting. | Tool | What it does | | --- | --- | | Text-to-image | Generates a picture from a written prompt | | Monocular depth | Estimates depth from a single image | | Image restoration | Cleans up a damaged or noisy picture | | Upscaling | Makes a picture larger | ### Example You open a preset, read the prompt and the settings it was sampled with, then change the seed and run it again. The page shows a new image from the same prompt. ### For newcomers and experts Start with a preset to see the quality you can expect, then change one setting at a time. The seed picks the random start, and the steps and guidance shape the result. Pixel space means the model works on pixels directly instead of a compressed latent form. One 3B prior serves several tasks. The weights load from a safetensors file plus a config file, and the iris3b folder copies the source package from the code repository. The Space also names a Qwen3-VL 4B Instruct model. You pick a task and settings → The app loads the exported Iris-3B weights → The 3B pixel space model runs on ZeroGPU → The result shows in the page ### Good to know The README is short, so the supported sizes and limits of each task are not listed. - License: Apache 2.0 - Cost to run: ZeroGPU time at Hugging Face, plus an HF\_TOKEN secret only while the model repository is private - Data it reaches: the prompts and images you add, and model files from the Hub ## README ````markdown # Iris-3B A demo of Iris-3B, one 3B model that makes images from text, estimates depth from a single image and restores or upscales pictures. For vision researchers and developers trying a general image model. Made by speridlabs on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This Space is a demo of Iris-3B, a general vision model that works directly in pixel space. One 3B model handles text-to-image, depth estimation from a single image, image restoration and upscaling. It runs on ZeroGPU at Hugging Face, and a research paper backs it. Who it suits: Computer vision researchers, developers and curious makers who want to try one model across several image tasks. ```table Industry | Who uses it | How they use it | Example Research | Vision researchers | Test one model on generation, depth and restoration | Run the preset examples and compare outputs Software | Imaging developers | Study how a pixel space model is wrapped in a demo | Read app.py, viewers.py and the iris3b folder Creative | Designers | Make an image from a prompt | Type a scene and pick a size Photography | Photo editors | Restore or upscale a picture | Add an image and run the restoration task ``` If you want a finished consumer editor, a research demo has fewer polished controls. Where to use it: It runs in two places. - A web browser, on the Space's page at Hugging Face with nothing to install - A local copy on Windows, macOS or Linux, which needs Python 3.12 ```table Use case | Who | What they get back Text to image | Creators | A generated picture from your prompt Depth from one image | Researchers | An estimated depth map for a single image Restore or upscale | Photo editors | A cleaner or larger version of your picture ``` How to set it up: Using it online needs nothing. A local copy needs more. - Python 3.12 and pip - The packages listed in requirements.txt - A Hugging Face token set as a secret named HF_TOKEN, only while the model repository is private - A GPU that suits a 3B model, since the page was built for ZeroGPU 1. Install the Hugging Face tools. 2. Download the Space into a folder. 3. Move into that folder. 4. Install Gradio and the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download speridlabs/iris-3b --repo-type space --local-dir iris-3b cd iris-3b pip install gradio==5.49.1 pip install -r requirements.txt python app.py ``` How to use it: Open the Space page and pick a task. You can start from one of the curated example presets, each of which records its prompt, size, seed, steps and guidance. Change those values to explore. The app loads exported weights from a model repository named by the IRIS_MODEL_REPO setting. ```table Tool | What it does Text-to-image | Generates a picture from a written prompt Monocular depth | Estimates depth from a single image Image restoration | Cleans up a damaged or noisy picture Upscaling | Makes a picture larger ``` Example: You open a preset, read the prompt and the settings it was sampled with, then change the seed and run it again. The page shows a new image from the same prompt. For newcomers and experts: Start with a preset to see the quality you can expect, then change one setting at a time. The seed picks the random start, and the steps and guidance shape the result. Pixel space means the model works on pixels directly instead of a compressed latent form. One 3B prior serves several tasks. The weights load from a safetensors file plus a config file, and the iris3b folder copies the source package from the code repository. The Space also names a Qwen3-VL 4B Instruct model. ```flow You pick a task and settings The app loads the exported Iris-3B weights The 3B pixel space model runs on ZeroGPU The result shows in the page ``` Good to know: The README is short, so the supported sizes and limits of each task are not listed. - License: Apache 2.0 - Cost to run: ZeroGPU time at Hugging Face, plus an HF_TOKEN secret only while the model repository is private - Data it reaches: the prompts and images you add, and model files from the Hub ## On Hugging Face, 13 November 2026 - Likes: 65 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/speridlabs/iris-3b - Files: https://huggingface.co/spaces/speridlabs/iris-3b/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [speridlabs/iris-3b on Hugging Face](https://huggingface.co/spaces/speridlabs/iris-3b) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Iris-3B (this page) | 65 | gradio | apache-2.0 | 2026-10-13 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · dmarcos · 2026-10-08](https://news.ycombinator.com/item?id=50010996): Iris-3B: Pixel-space generative open model. Can act as a general vision learner - [Bluesky · UndergroundAI · 2026-10-11](https://bsky.app/profile/undergroundai66.bsky.social/post/3mxmdovigpo2o): ⚡ Ein neuer Bildgenerator mischt die Open-Source-Welt auf. 🛠️ iris-3b von speridlabs ist als Trend-Modell auf HuggingFace gestartet und… 🚀 Entdecke diesen und weitere KI-Geheimtipps direkt bei Underground AI. 👉 https://underground-ai.bolt.app/ \#OpenSource \#Bildgenerator - [Hacker News · vunderba · 2026-10-09](https://news.ycombinator.com/item?id=50025895): Training Text-to-Image Models Without a VAE: Neat. What are your thoughts on the recently released Iris-3B, a pixel-space model which also bypasses the need for a traditional VAE? https://arxiv.org/pdf/2610.09450 https://huggingface.co/speridlabs/iris-3b - [Bluesky · Pull Repo · 2026-10-27](https://bsky.app/profile/pullrepo.bsky.social/post/3mytzr2mvmp2l): 🚀 Fastest-growing AI projects today: 1. These trends highlight the growing demand for accessible yet sophisticated tools that e... 2. Speridlabs' Iris-3B an impressive pixel-space generation and general vision learning mo... 3. With a growth score of 14.18 and 183 stars, its direct pixel gener - [Bluesky · Pull Repo · 2026-10-27](https://bsky.app/profile/pullrepo.bsky.social/post/3mysya6exwl2p): 🚀 Fastest-growing AI projects today: 1. The top-growing project, \`speridlabs/iris-3b\`, stands out with its innovative approach... 2. \`speridlabs/iris-3b\` a diffusion transformer that generates every pixel directly and ca... 3. With a Growth Score of 15.15 and 177 stars, it demonstrates signifi - [Bluesky · Pull Repo · 2026-10-26](https://bsky.app/profile/pullrepo.bsky.social/post/3myrwpcbjmg2t): 🚀 Fastest-growing AI projects today: 1. One standout project \`speridlabs/iris-3b\`, which a unique diffusion transformer that di... 2. \`speridlabs/iris-3b\` has seen significant growth thweek, with a Growth Score of 15.22 a... 3. The project's direct pixel-space generation approach sets it apart - [Bluesky · feilong · 2026-10-16](https://bsky.app/profile/feilong76.bsky.social/post/3mxzrcuoz222l): “生成AIグラビアをグラビアカメラマンが作るとどうなる？第76回：pixel-spaceな新顔画像生成AI「iris-3b」を使いやすくしてみた（西川和久） \| テクノエッジ TechnoEdge” htn.to/3Kk9NgMxYJ - [Bluesky · カマドさん(仮) · 2026-10-15](https://bsky.app/profile/nigolv.bsky.social/post/3mxx6b3x4uc2z): 新しい画像を作るAIについてのニュースがありました。 最近は色々な新しいモデルが登場していますが、中には使うのが少し難しいものもあります。 そんな中で、Speridlabsから「iris-3b」という新しいAIが登場したそうです。 新しい顔の画像を生成するのが得意なAIのようで、これからの展開がとても楽しみですね。 www.techno-edge.net \#news - [Bluesky · arXiv cs.CV Computer Vision and Pattern Recognition · 2026-10-08](https://bsky.app/profile/cscv-bot.bsky.social/post/3mxdu3ixqhz2e): Hanqiu Li Cai (SperidLabs), Chema Garabito (SperidLabs): Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning https://arxiv.org/abs/2610.09450 https://arxiv.org/pdf/2610.09450 https://arxiv.org/html/2610.09450 ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-10-13 - First published: 2026-10-05 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open speridlabs/iris-3b on Hugging Face](https://huggingface.co/spaces/speridlabs/iris-3b) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2b9ef857-d6c8-4b39-b9fc-e21d00dd0e58) - [Its page on Mindket](https://mindket.com/p/2b9ef857-d6c8-4b39-b9fc-e21d00dd0e58)