---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: >-
Outdoors,by the forest creek,a white electric car features fashionable
futuristic design lines and stylish black alloy wheels with complex
patterns. A cartoon style man casually leaned against the car,wearing a
white shirt with black trim,black shorts,white socks,and white sneakers. The
artistic style blends elements of reality and illustration.
output:
url: >-
images/f9c20664413ae628652eeb0cc3035ec257d1d32fc62178c947b54fc3d2e0f445.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: artistic style blends reality and illustration elements.
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# FLUX.1-dev-LoRA-blended-realistic-illustration
This is a LoRA trained on FLUX.1-dev for blended realistic illustration by [Muertu](https://www.shakker.ai/userpage/562c8ddb15e147c9b1c31878f865c901/publish), the front character is in illustration style, while the background is realistic.
## Showcases
## Trigger words
You should use `artistic style blends reality and illustration elements.` to trigger the image generation. The recommended scale is `1.0`.
## Inference
```
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-blended-realistic-illustration", weight_name="FLUX-dev-lora-blended_realistic_illustration.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = A peaceful outdoor scene,surrounded by lush green leaves and vibrant vegetation on the stone road. A cartoon style man sits on white clothes,gently caressing two animated cats,one orange and one white. Soft sunlight creates shadows,simple walls and pebble floors create a peaceful atmosphere,blending reality and animation elements,and natural and procedural characters. The artistic style blends elements of reality and illustration."
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=3.5,
width=768, height=1024,
).images[0]
image.save(f"example.png")
```
## Online Inference
You can also download this model at [Shakker AI](https://www.shakker.ai/modelinfo/4ea23c6ad148462589ea42e4eeac9897?from=personal_page), where we provide an online interface to generate images.
## Acknowledgements
This model is trained by our copyrighted users [Muertu](https://www.shakker.ai/userpage/562c8ddb15e147c9b1c31878f865c901/publish). We release this model under permissions.