---
title: Flux-Dev-Real-Anime-LoRA
canonical_url: "https://www.modelscope.cn/models/prithivMLmods/Flux-Dev-Real-Anime-LoRA"
md_url: "https://www.modelscope.cn/models/prithivMLmods/Flux-Dev-Real-Anime-LoRA.md"
repository: prithivMLmods/Flux-Dev-Real-Anime-LoRA
last_updated: 2024-11-26
license: creativeml-openrail-m
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - black-forest-labs/FLUX.1-dev
base_model_relation: adapter
parameters: 306.3M
tensor_type:
  - F16
library_name:
  - pytorch
  - lora
  - diffusers
  - safetensors
frameworks:
  - pytorch
downloads: 1700
stars: 0
tags:
  - text-to-image
  - lora
  - diffusers
  - "template:diffusion-lora"
  - flux
  - dev
  - anime
  - real-anime
  - art
---

# Flux-Dev-Real-Anime-LoRA

> Flux-Dev-Real-Anime-LoRA - prithivMLmods 在 ModelScope 开源的模型。Flux-Dev-Real-Anime-LoRA

prithivMLmods/Flux-Dev-Real-Anime-LoRA 是 ModelScope 魔搭社区上的 306.3M 参数text-to-image-synthesis模型，采用 creativeml-openrail-m 许可，基于 black-forest-labs/FLUX.1-dev 构建。

- **Repository**: prithivMLmods/Flux-Dev-Real-Anime-LoRA
- **License**: creativeml-openrail-m
- **Tasks**: text-to-image-synthesis
- **Parameters**: 306.3M
- **Base model**: black-forest-labs/FLUX.1-dev
- **Tags**: text-to-image, lora, diffusers, template:diffusion-lora, flux, dev, anime, real-anime, art
- **Downloads**: 1700
- **Stars**: 0
- **Last updated**: 2024-11-26

Source: https://www.modelscope.cn/models/prithivMLmods/Flux-Dev-Real-Anime-LoRA

---

# 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.