amd/segmind-vega-amdnpu
By amd · ↓ 0 · ♥ 2 · Updated 2026-02-25
What's in this repo
This page lists the files in amd/segmind-vega-amdnpu, including text_encoder_fp16.onnx, text_encoder_2_fp16.onnx, replaced.onnx and more.
- 5 ONNX models (.onnx files)
- 44 files, including 15 .json, 5 .onnx, 5 .txt, 3 .safetensors, 3 .ctrlpkt, 3 .fconst
- Last updated 2026-02-25
ONNX files
| File | Size | Download |
|---|---|---|
| text_encoder/text_encoder_fp16.onnx | — | Download |
| text_encoder_2/text_encoder_2_fp16.onnx | — | Download |
| unet/dd/replaced.onnx | — | Download |
| vae_decoder/dd/replaced.onnx | — | Download |
| vae_encoder/dd/replaced.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
license: apache-2.0 language: en tags:
- text-to-image
- ultra-realistic
- stable-diffusion
- distilled-model
- knowledge-distillation pinned: true datasets:
- zzliang/GRIT
- wanng/midjourney-v5-202304-clean
🚀 Segmind-Vega on AMD NPU
"Segmind Vega is a distilled version of the Stable Diffusion XL (SDXL), offering a 70% reduction in size and an impressive 100% speedup while retaining high-quality text-to-image generation capabilities. This makes it an ideal choice for applications that require efficient and fast image generation." (segmind/Segmind-Vega)
This version of the model has been optimized to run on AMD NPUs.
For more information, refer to the original model card under segmind/Segmind-Vega.
Model Details
| Model Details | Description |
|---|---|
| Person or organization developing model | AMD |
| Original model authors | Segmind |
| Model date | February 2026 |
| Model version | 1.7.1 |
| Model type | Diffusion-based text-to-image generation model |
| Information about training algorithms, parameters, fairness constraints or other applied approaches, and features | This is a model that can be used to generate and modify images based on text prompts. |
| License | Apache 2.0 |
| Where to send questions or comments about the model | Community Tab and AMD Developer Community Discord |
⚡ Intended Use
Getting Started
To get started with this model, visit github.com/amd/sd-sandbox.
⚓ Ethical Considerations
AMD is committed to conducting our business in a fair, ethical and honest manner and in compliance with all applicable laws, rules and regulations. You can find out more at the AMD Ethics and Compliance page.
⚠️ Caveats and Recommendations
Please visit the original model card for more details: segmind/Segmind-Vega.
Model info
Created: 2026-02-05
Updated: 2026-02-25
View on Hugging Face