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---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- image-generation
- flux
- safetensors
widget:
- text: >-
Makoto Shinkai style, a boy and a girl looking out of a window with a cat
perched on the window sill. There is a bicycle parked in front of them and a
plant with flowers to the right side of the image. The wall behind them is
visible in the background.
output:
url: images/example_1.png
- text: >-
Makoto Shinkai style, a girl in a green cloak walking alone through an
ancient forest, sunlight piercing through towering trees like stained glass,
glowing pollen swirling around her boots, a rusted lantern hanging from her
wooden staff, shadows of deer spirits flickering between moss-covered
stones, muted emerald and gold color palette
output:
url: images/example_2.png
- text: >-
Makoto Shinkai style, a shepherd boy floating on a wooly cloud-whale,
holding a glowing dandelion staff to guide sheep-shaped cumulus, miniature
storm clouds grazing nearby, his patched jacket flapping in high-altitude
winds, aurora-like ribbons in peach and lavender stretching across the sky
output:
url: images/example_3.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Makoto Shinkai style
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-Makoto-Shinkai
This is a Makoto Shinkai style LoRA trained on FLUX.1-dev.
<Gallery />
## Trigger words
You should use `Makoto Shinkai style` to trigger the image generation.
## Inference
```python
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("InstantX/FLUX.1-dev-LoRA-Makoto-Shinkai", weight_name="Makoto_Shinkai_style.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = "Makoto Shinkai style, a shepherd boy floating on a wooly cloud-whale, holding a glowing dandelion staff to guide sheep-shaped cumulus, miniature storm clouds grazing nearby, his patched jacket flapping in high-altitude winds, aurora-like ribbons in peach and lavender stretching across the sky"
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=3.5,
width=960, height=1280,
).images[0]
image.save(f"example.png")
```
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