AxForge
Sign in Get started

Model reference · open weights

majicflus

Available as managed deployment Licence fee Image Shakker-Labs Text→image 1 variants 1k dl/mo

majicflus is an open-weight image model from Shakker-Labs. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Request deployment All image models

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byShakker-Labs
TypeImage models
TaskText→image
Runs withdiffusers
Released2025-01-06
Popularity1k downloads / month
LicenceCommercial licence needed

About

What majicflus is

MajicFlus is a model fine-tuned and merged based on flux.dev, specializing in high-quality portrait generation, with a particular focus on capturing the delicacy and beauty of Asian women. The model emphasizes aesthetics, realism, and user-friendliness, allowing users to generate high-quality results with simple prompts while also handling complex prompts effectively.

Read the full model card

Model Features

  • Outstanding Portrait Generation: Optimized for various lighting conditions, ensuring facial details and limb integrity in different compositions.
  • Versatile Applications: In addition to portraits, the model demonstrates significant improvements in generating non-human subjects and scenes, making it suitable for diverse creative needs.
  • Ease of Use: Users can achieve impressive results with simple prompts, while longer prompts are also well-supported for fine-grained control.

Community Adaptation

MajicFlus is launching alongside a collection of LoRAs created by multiple community members. These LoRAs further enhance the model’s functionality and performance, offering users more creative possibilities and enabling the model to adapt to specific styles and scenarios.

Inference Setting

  • Steps: 20~30
  • Distilled CFG Scale: 3.5
  • CFG : 1
  • Diffusion in Low Bits: float8-e4m3fn
  • Sampling: Euler + simple/beta (for general)，DPM2M + SGM uniform (for skin texture)，DEIS + DDIM uniform (for casual realistic look)
  • Vae: flux vae
  • Clip: clip_l.safetensors and t5xxl_fp8_e4m3fn.safetensors

Online Inference

You can also download and try this model at Shakker AI.

Acknowledgements

This model is trained by our copyrighted users Merjic. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys majicflus for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (majicflus below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/images/generations \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"majicflus","prompt":"a red bicycle","size":"1024x1024"}'

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

Get API access
© 2026 AxForge · EU-hosted AI infrastructure Pricing Docs Trust Privacy Terms