README.md

---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- flux
- dev
- anime
- real-anime
- art
widget:
- text: >-
    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.
  output:
    url: images/000.png
- text: >-
    A photo of the anime model wearing a white bodysuit and beige trench coat,
    posing in front of a train station with hands on head, soft light, sunset,
    fashion photography, high resolution, 35mm lens, f/22, natural lighting,
    global illumination. --ar 85:128 --v 6.0 --style raw
  output:
    url: images/111.png
- text: >-
    A photo of an anime model wearing a sleek black jumpsuit and a stylish
    oversized denim jacket, posing confidently in front of a modern skyscraper
    with hands on hips. Soft light filters through the buildings, creating a
    warm glow during golden hour. Fashion photography, high resolution, 50mm
    lens, f/2.8, natural lighting, global illumination. --ar 85:128 --v 6.0
    --style raw.
  output:
    url: images/222.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Real Anime
license: creativeml-openrail-m
---
# Flux-Dev-Real-Anime-LoRA

<Gallery />

**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**

## Setting Up
```
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)
```
## app.py
```
import gradio as gr

gr.load("prithivMLmods/Flux-Dev-Real-Anime-LoRA").launch()
```
## pythonproject.py
```
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="/")
```

## App File Structure

/project-root/
│
├── .gitattributes         
├── README.md      
├── app.py             
├── pythonproject.py     

## Trigger words

You should use `Real Anime` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Flux-Dev-Real-Anime-LoRA/tree/main) them in the Files & versions tab.