Raelina/Raemu-Flux

Raemu Flux

Overview

Raemu Flux is a finetuned model built on top of Flux.1-dev, specifically focused on anime. It has been finetuned with dataset nearly 1,500 carefully curated, high-quality aesthetic anime images, resulting in noticeable improvements in anime scene rendering and visual quality.

Inference

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("Raelina/Raemu-Flux", torch_dtype=torch.bfloat16)
# to run on low vram GPUs (i.e. between 4 and 32 GB VRAM)
pipe.enable_sequential_cpu_offload()
pipe.vae.enable_slicing()
pipe.vae.enable_tiling()

prompt = "A woman anime hold sign that says hello world"
image = pipe(
    prompt,
    width=896,
    height=1152,
    guidance_scale=3.5,
    num_inference_steps=20,
    max_sequence_length=512,
    generator=torch.Generator("cpu").manual_seed(0)
).images[0]

image.save("raemu-flux.png")

Usage

Be sure to include anime in your prompt. otherwise, the output may appear realistic. For example:

A woman anime hold sign that says Hello World.

License

The model falls under flux-1-dev-non-commercial-license