Model reference · open weights
majicflus is an open-weight image model from Shakker-Labs. majicflus_v1 (BF16) weighs 11.9 GB; the smallest configuration that runs it is RTX 4090 24 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the Shakker-Labs/majicflus_v1 model card, 2026-10-01
What it is
| Released by | Shakker-Labs |
|---|---|
| Released | 2025-01-06 |
| VRAM | 11.9 GB for the weights |
What it runs on
| Card | One image | Memory |
|---|---|---|
| RTX 3060 12 GB … RTX 4060 Ti 16 GB | does not fit | |
| RTX 3090 24 GB | fits | 23.4 GB |
| RTX 4090 24 GB | fits | 23.4 GB |
| RTX 5090 32 GB | fits | 31.0 GB |
| L40S 48 GB | fits | 44.0 GB |
| A100 80 GB | fits | 78.2 GB |
| H100 80 GB | fits | 78.1 GB |
| RTX PRO 6000 Blackwell 96 GB | fits | 93.8 GB |
| DGX Spark (GB10) 128 GB unified | fits | 107 GB |
| H200 141 GB | fits | 138 GB |
| B200 180 GB | fits | 176 GB |
From the model card
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.
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.
You can also download and try this model at Shakker AI.
This model is trained by our copyrighted users Merjic. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works
Running it yourself
Rent a machine by the hour. ComfyUI is installed on it. Open ComfyUI through the tunnel and load the workflow from the model's card on Hugging Face; choose this model's file in its loader.
# on your rented machine (the ssh line is on its page in the console)
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }
# the model (11.1 GB)
get Shakker-Labs/majicflus_v1 majicflus_v1.safetensors diffusion_models
start-comfyui# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST, PORT and BOOKING are your machine's, from its page in the console
ssh -o HostKeyAlias=axforge-BOOKING -o StrictHostKeyChecking=accept-new -L 8188:localhost:8188 dev@HOST -p PORT