Instructions to use abbuibuibui/MimiPearlbaton-Lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abbuibuibui/MimiPearlbaton-Lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("waiIllustriousSDXL-v17", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("abbuibuibui/MimiPearlbaton-Lora") 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
Download evaluation/round1_face.jpg from abbuibuibui/MimiPearlbaton-Lora: direct link, hf CLI and curl.
- Browser
- Download file 154 kB
-
https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/round1_face.jpg
- Command line
-
hf download hf://abbuibuibui/MimiPearlbaton-Lora/evaluation/round1_face.jpg
-
curl -L -o round1_face.jpg https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/round1_face.jpg
154 kB

- Xet hash:
- 2d43b78b2fcaa9219b619808d68d81ea95de361419ff274219cafca2601b08ed
- Size of remote file:
- 154 kB
- SHA256:
- 29fe899835f2a67eec27b2a4ad10d88c5d37561f71a500ae279d178f5c053c12
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.