MeiGen vs Stable Diffusion WebUI Forge
MeiGen
meigen.ai
Stable Diffusion WebUI Forge
github.comSide by side
| Figure | MeiGen | Stable Diffusion WebUI Forge |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · AI image generators | 8.1 (#48) | 8.9 (#12) |
| API access | Yes | Yes |
| Image editing | GPT Image 2.5 supports text-to-image and reference-image editing with up to 16 reference images. | Yes |
| Reference images | Yes | Yes |
| Security | The privacy policy says MeiGen uses encryption for data transmission and storage and limits service-data access to necessary technical personnel. | The repository's Security page is titled Overview and provides no security or compliance details in the opened page. |
| Support | The refund policy directs customers to email support and says reviews are processed within seven business days. | The maintainer invites users to open issues for problems and says they will check them every several days. |
| Text-to-image | Yes | Yes |
Plans
MeiGen
- Credits (one-time purchase; amounts not stated on the opened pages)Price not published
In their own words
Stable Diffusion WebUI Forge
Stable Diffusion WebUI Forge is a free, open-source platform built on Stable Diffusion WebUI for image generation and editing. It supports text-to-image creation, reference images, and image editing, with PNG, JPG, JPEG, WebP, AVIF, and GIF listed as output formats. The project aims to ease development, manage resources, speed inference, and explore experimental features. Its interface is based on Gradio, and the README offers a one-click installation package that includes Git and Python. Windows launch scripts, shell scripts, a macOS environment script, and source installation instructions are listed. Forge includes GPU memory management and components such as LoRAs, ControlNets, IP-Adapters, Instant-IDs, reference-only methods, and extensions. Several Flux BitsandBytes and GGUF variants are natively supported, with GPU weight and swap controls; some variants support LoRA. The README lists txt2img and img2img API endpoints as normal, while improved Flux support is pending. The project is described as under construction, so its documentation, interface, and functionality may change. Its license is AGPL-3.0.