DiffEngine

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About

An open-source toolbox for training state-of-the-art Diffusion Models. Packed with advanced features including diffusers and MMEngine, it empowers both seasoned experts and newcomers in the field to efficiently create and enhance diffusion models

Impact

Training state-of-the-art Diffusion Models: Empower your projects with state-of-the-art Diffusion Models. We can use Stable Diffusion, Stable Diffusion XL, DreamBooth, LoRA .

Progress

Supported algorithms. - Stable Diffusion - Stable Diffusion XL - DreamBooth - LoRA - ControlNet - Distill Stable Diffusion

Team

Based on my achievements and expertise, I am the right person to build it. I have received the "Contributor of the Year" award from OpenMMLab, demonstrating my deep involvement and proficiency in development.

Funding

No displayed figures preserved for this project.

Season totals as displayed on the platform's public accounting — not a statement of amounts paid out. V2 = Venus sales + Venus extras. The original page also broke each season down by fund drive and showed an Available (unclaimed) balance; that level of detail survives only on the preserved snapshots.

Leaderboard page (offline): https://artizen.fyi/projects/diffengine
Wayback: leaderboard page ↗ · Wayback: platform page ↗

Not recovered: creator, tags, links, funding, drives, submissions, snapshot. Sources: "snapshot" = verbatim Internet Archive page · "platform metadata" = archived artizen.fund page metadata · "leaderboard" = the artizen.fyi public accounting tables · "match catalog" = the platform's public fund-matching catalog (captured 2026-10-15, generated 2026-09-07) · "community catalog" = a June 2026 platform scrape preserved in a community repo.