--- 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 **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.