base_model: stabilityai/stable-diffusion-3.5-large
library_name: diffusers
tags:
- text-to-image
- diffusers-training
- diffusers
- lora
- sd3
- sd3-diffusers
- template:sd-lora
instance_prompt: >-
Ghibli style [character description] with [distinctive features], [action or
pose], [environment or background], [lighting or atmosphere], [additional
details]
license: other
license_name: stabilityai-ai-community
license_link: >-
https://huggingface.co./stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md
widget:
- text: >-
Ghibli style futuristic stormtrooper with glossy white armor and a sleek
helmet, standing heroically on a lush alien planet, vibrant flowers
blooming around, soft sunlight illuminating the scene, a gentle breeze
rustling the leaves
output:
url: images/stormtrooper.jpg
datasets:
- alvarobartt/ghibli-characters
pipeline_tag: text-to-image
Studio Ghibli Characters - SD 3.5 Large LoRA
Model description
This repository contains the LoRA adapter for StableDiffusion 3.5 Large, fine-tuned using Diffusers + Dreambooth with Studio Ghibli images free-to-use downloaded manually from https://ghibli.jp and hosted at alvarobartt/ghibli-characters.
Prompt Template
You should use the following template (defined when annotating the images with the captions) to trigger the image generation:
"Ghibli style [character description] with [distinctive features], [action or pose], [environment or background], [lighting or atmosphere], [additional details]"
Inference with diffusers
Requires
diffusers
0.31.0 or higher, see the release notes.
import torch
from diffusers import DiffusionPipeline
model_id = "stabilityai/stable-diffusion-3.5-large"
adapter_id = "alvarobartt/ghibli-characters-sd3.5-lora"
pipeline = DiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.bfloat16)
pipeline.load_lora_weights(adapter_id)
pipeline.to("cuda")
prompt = (
"Ghibli style futuristic stormtrooper with glossy white armor and a sleek helmet,"
" standing heroically on a lush alien planet, vibrant flowers blooming around, soft"
" sunlight illuminating the scene, a gentle breeze rustling the leaves"
)
image = pipeline(
prompt=prompt,
num_inference_steps=30,
width=1024,
height=768,
guidance_scale=3.5,
).images[0]
image.save("ghibli.png", format="PNG")
Disclaimer
This fine-tune is for personal-use only, with no-commercial purposes as stated within the licensing.
The StableDiffusion 3.5 Large fine-tunes fall under the same license as StableDiffusion 3.5 Large i.e. https://huggingface.co./stabilityai/stable-diffusion-3.5-large/blob/main/LICENSE.md; and the Studio Ghibli dataset is released with a custom non-commercial license based on the interpretation of the findings on their website.