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---
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. |