speridlabs/iris-3b
text-to-image model by speridlabs
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From the publisher
Model card & documentation
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Iris-3B Pixel-space generation & general vision learner.A 3-billion-parameter model that paints every pixel directly — no VAE, no latent space — and, fine-tuned, estimates depth and restores and upscales images. Generative priors are a promising foundation for downstream vision tasks. In this project we explore pixel-space generative models as an alternative to vision foundation models such as DINOv2. Most image generators work in a compressed "latent" space and rely on a separate decoder to turn that into an image. Iris-3B skips that step: the network itself outputs every pixel, so nothing is lost to a lossy, texture-biased latent. You type a prompt, and you get a 1024-pixel image. Iris-3B is not only an image generator. The same pixel-space prior, fine-tuned with no architectural change, is a general vision learner for dense tasks where detail matters: monocular depth estimation and image restoration and upscaling ship in this repo (see A general…
Read the full model card ↗ · Preview checked 2026-10-30T17:11:55.939Z
Inside the original model card — Document outline
- Examples
- Get started
- Tips
- Iris-3B Turbo
- Benchmarks
- Training recipe
- Thanks to the community turbo LoRA
- Limitations of Turbo
- A general vision learner: depth, image restoration and upscaling
- What's in this repo
- About the model
- Limitations
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
speridlabs/iris-3b is a text-to-image model repository published by speridlabs on Hugging Face. The source reports the pytorch library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-to-image
- Library
- pytorch
- Recent downloads (30 days)
- 1,561
- Cumulative likes
- 326
- Hugging Face trending score
- 58
- Reported safetensors parameters
- 2,987,511,888
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-05T14:51:15.000Z
- Last modified
- 2026-10-12T18:06:04.000Z
Compatibility and lineage
Language coverage was not reported.
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-22T06:44:02.555Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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