prithivMLmods/Flux-Dev-Real-Anime-LoRA

Instalación y uso con Diffusers:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained(
    "black-forest-labs/FLUX.1-dev",
    dtype=torch.bfloat16,
    device_map="cuda"
)
pipe.load_lora_weights("prithivMLmods/Flux-Dev-Real-Anime-LoRA")

prompt = "A photo of an anime model wearing a trendy oversized sweater and denim shorts, sitting on a swing in a park with hands gripping the chains. The golden hour sunlight filters through the trees, creating a magical atmosphere. Fashion photography, high resolution, 35mm lens, f/2.8, natural lighting, global illumination. --ar 85:128 --v 6.0 --style raw."
image = pipe(prompt).images[0]

Configuración local indicada en la tarjeta:

import torch
from pipelines import DiffusionPipeline

base_model = "black-forest-labs/FLUX.1-dev"
pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)

lora_repo = "prithivMLmods/Flux-Dev-Real-Anime-LoRA"
trigger_word = "Real Anime" # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)

Aplicación Gradio mínima:

import gradio as gr

gr.load("prithivMLmods/Flux-Dev-Real-Anime-LoRA").launch()

Ejemplo con FastAPI y Gradio:

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
import gradio as gr

def image_generator(prompt):
    pass

interface = gr.Interface(fn=image_generator, inputs="text", outputs="image")

app = FastAPI()
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)
app = gr.mount_gradio_app(app, interface, path="/")

Palabra disparadora recomendada: Real Anime.