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 Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.bin from kiddoos/totoro: direct link, hf CLI and curl.
- Browser
- Download file 25.6 MB
-
https://huggingface.co/kiddoos/totoro/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://kiddoos/totoro/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/kiddoos/totoro/resolve/main/pytorch_lora_weights.bin
25.6 MB
- Xet hash:
- b52564be8d4890487c7d138077f5bf4f82c6726503cb0186c68aef3a738a41b5
- Size of remote file:
- 25.6 MB
- SHA256:
- 33cb717de28dc134ba0fcf7f72ae0ef0478f7a49c7d88c7ced1e96a3aefd959f
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