majicFlus麦橘超然
MajicFlus is a model based on a fine-tuned merger of flux.dev that focuses on producing high-quality portraits
English
English
MajicFlus is a model based on a fine-tuned merger of flux.dev that focuses on producing high-quality portraits, with a particular emphasis on capturing the delicacy and beauty of Asian women. This model emphasizes beauty, authenticity, and user-friendliness, allowing users to produce high-quality results through simple prompts while also handling complex prompts effectively.
Superior portrait generation: Optimized for a variety of lighting conditions, ensuring facial detail and body integrity in different compositions.
Broad application: In addition to portraits, the model also shows 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 also well supporting longer prompts for fine control.
Focus on Asian aesthetics: Especially optimized for the characteristics and beauty of Asian women.
High-quality portraits: Generate images with rich details and high fidelity.
Versatility: Not limited to portrait generation, but also able to handle other subjects and scenarios.
User Friendly: Simple and easy to use, while also providing advanced control options.
MajicFlus is released with LoRA collections created by multiple community members. These LoRAs further enhance the functionality and performance of the model, providing users with more creative possibilities and allowing the model to be adapted to specific styles and scenarios. This means that users can use MajicFlus more flexibly through resources provided by the community.
For best results, here are some recommended parameter settings:
Number of steps (Steps): 20~30
Distilled CFG Scale: 3.5
Setting value (Seed): 1
Low spread (Precision): float8-e4m3fn
Sampler:
General purpose: Euler + simple/beta
Skin texture: DPM2M + SGM uniform
Casual realistic look: DEIS + DDIM Uniform
VAE: flux vae (flux.vae)
CLIP: clip_l.safetensors and t5xxl_fp8_e4m3fn.safetensors
Generate Asian-style portraits: suitable for creating artworks, character designs, virtual idols, etc. with Asian characteristics.
Art creation and design: It can be used in painting, illustration, graphic design and other fields to provide rich visual materials.
Game and animation production: can be used to generate game characters, animated characters, etc.
Social media content creation: can be used to create social media posts, profile pictures, etc.
MajicFlus is an AI model designed to generate high-quality Asian portraits, and its ease of use, versatility, and community support make it an ideal choice for many creators.
Check whether the network connection is stable, try using a proxy or mirror source; confirm whether you need to log in to your account or provide an API key. If the path or version is wrong, the download will fail.
Make sure you have installed the correct version of the framework, check the version of the dependent libraries required by the model, and update the relevant libraries or switch the supported framework version if necessary.
Use a local cache model to avoid repeated downloads; or switch to a lighter model and optimize the storage path and reading method.
Enable GPU or TPU acceleration, use batch data processing methods, or choose a lightweight model such as MobileNet to increase speed.
Try quantizing the model or using gradient checkpointing to reduce the memory requirements. You can also use distributed computing to spread the task across multiple devices.
Check whether the input data format is correct, whether the preprocessing method matching the model is in place, and if necessary, fine-tune the model to adapt to specific tasks.
