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/02_three_quarter.jpg from abbuibuibui/MimiPearlbaton-Lora: direct link, hf CLI and curl.
- Browser
- Download file 480 kB
-
https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/02_three_quarter.jpg
- Command line
-
hf download hf://abbuibuibui/MimiPearlbaton-Lora/evaluation/02_three_quarter.jpg
-
curl -L -o 02_three_quarter.jpg https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/02_three_quarter.jpg
480 kB

- Xet hash:
- 4715c1e3c063a7ad52443203d32b3343e51ed17eaffdc494b1b2b6e04ca141b1
- Size of remote file:
- 480 kB
- SHA256:
- 1f94a3eaa812d3e4970693f8ebb4ff22164e3363b456f0bb85f99c00de74631b
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