# fashn-human-parser by FASHN: Open-Weight Model
Source: https://savrn.com/models/fashn-human-parser
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Runs On

What it takes to serve fashn-human-parser (64M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

| Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits |
| --- | --- | --- | --- | --- | --- |
| 16-bit | 0.1 GB | 0.2 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 8-bit | 0.1 GB | 0.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |
| 4-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 |

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 22, 2026.

[fashn-human-parser on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/fashn-human-parser/gpus)

## Model Card

A SegFormer-B4 model fine-tuned for human parsing with 18 semantic classes, optimized for fashion and virtual try-on applications. This model segments human images into 18 semantic categories including body parts (face, hair, arms, hands, legs, feet, torso), clothing items (top, dress, skirt, pants, belt, scarf), and accessories (bag, hat, glasses, jewelry). The pipeline automatically manages GPU/CPU and returns per-class masks at the original image resolution. For maximum accuracy, use our Python package which implements the exact preprocessing used during training: The package uses cv2.INTERAREA for resizing (matching training), while the HuggingFace pipeline uses PIL LANCZOS. Labels…

Excerpt from the card by FASHN, licensed other.

## Configuration

Architecture

SegformerForSemanticSegmentation

Stored precision

float32

Model type

segformer

## Identity and Version

Repository

fashn-ai/fashn-human-parser

Publisher

FASHN

Task

Image segmentation

Modality

Image

Library

transformers

Parameters

64M parameters

Languages

en

Revision

1f80c34dbab321c5730dda5c3fea279fd3e97498

First published

2026-01-09

Last updated

2026-01-10

## Files and Weights

5 files, 256.2 MB in total. The weights are 1 file totalling 256.1 MB in safetensors.

Weights1 file · 256.1 MB

Configuration2 files · 2.0 KB

Documentation1 file · 4.9 KB

Repository1 file · 1.6 KB

Every file

| File | Type | Size | SHA-256 |
| --- | --- | --- | --- |
| model.safetensors | Weights | 256.1 MB | e43c8c8a9b04 |
| config.json | Configuration | 1.7 KB | — |
| preprocessor_config.json | Configuration | 340 B | — |
| README.md | Documentation | 4.9 KB | — |
| .gitattributes | Repository | 1.6 KB | — |

## License and Download

License

other

Access

Open weights, no gate

Download size

256.1 MB

[Download from FASHN](https://huggingface.co/fashn-ai/fashn-human-parser)

Released by FASHN through its official repository on Hugging Face. [Read the license](https://github.com/NVlabs/SegFormer/blob/master/LICENSE).

## Memory Requirements

| Precision | Weights in memory |
| --- | --- |
| As published | 256.1 MB |
| 16-bit | 0.1 GB |
| 8-bit | 0.1 GB |
| 4-bit | 0.0 GB |

Weights only, from the published parameter count; the key-value cache and runtime add to this.

## Questions About fashn-human-parser

### How much GPU memory does fashn-human-parser need?

About 0.2 GB at 16-bit and 0 GB at 4-bit: the weights (64M parameters) plus a working margin. A long context needs more.

### What is the cheapest GPU to run fashn-human-parser on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

### What license is fashn-human-parser released under?

other, as its publisher declares it. Read the license text before commercial use.

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## FASHN

[All models and datasets](https://savrn.com/model-publishers/fashn-ai)

## Versions

- [1f80c34dbab3](https://savrn.com/models/fashn-human-parser/versions/1f80c34dbab3) · current 2026-09-18

## Explore More

- [All image segmentation models](https://savrn.com/models/tasks/image-segmentation)
- [Model comparisons](https://savrn.com/models/comparisons)
- [The model directory](https://savrn.com/models)
- [Open model prices by host](https://savrn.com/ai-index/pricing/open-models)

## Source

- Repository metadata, read 2026-10-20.
- [Hugging Face record](https://huggingface.co/fashn-ai/fashn-human-parser)
- [How the hub is built](https://savrn.com/model-hub/methodology)
