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npuforge

Convert a Stable Diffusion 1.5 or SDXL checkpoint into a Qualcomm NPU model on the phone itself, with no PC. Supports LoRA merging.

Details

External ID
1369234812
Source
GITHUB
Company
—
Product
npuforge
Website domain
github.com
Launched
Sept. 14, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.3866256725595696
Tags
—
Fetched at
Sept. 18, 2026, 5:02 p.m.
Updated at
Sept. 18, 2026, 5:02 p.m.

Enrichment

Theme
ML inference and model optimization
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
on-device stable diffusion model converter for qualcomm npus
Manually corrected
False

Could you build this?

No Converting, quantizing, and compiling massive diffusion models directly on mobile hardware into Qualcomm NPU formats (QNN/DLC) requires specialized low-level mobile AI and hardware compiler expertise.

What it would actually take: Requires an Android native C++/JNI layer integrating Qualcomm AI Engine Direct (QNN SDK), building an on-device quantization and model graph compilation engine, and managing device memory tightly to perform multi-gigabyte SDXL model graph transformations and LoRA weight fusion without hitting OS OOM limits.

Competitors

Other products that read as similar to this one — 11 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 12 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 287 days after the earliest competitor.

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