Instructions to use kiddoos/totoro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kiddoos/totoro with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kiddoos/totoro", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Totoro LoRA text2image fine-tuning
These are LoRA adaption weights for nitrosocke/Ghibli-Diffusion.
pipe = StableDiffusionPipeline.from_pretrained(
model_id,
torch_dtype=torch.float16,
safety_checker=None,
)
pipe.enable_xformers_memory_efficient_attention()
pipe.load_lora_weights(./lora_weights)
pipe = pipe.to('cuda')
image = pipe(
prompt='Totoro',
num_inference_steps=66,
guidance_scale=6.9,
cross_attention_kwargs={'scale': 0.6 },
).images[0]
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