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/09_complex.jpg from abbuibuibui/MimiPearlbaton-Lora: direct link, hf CLI and curl.
- Browser
- Download file 728 kB
-
https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/09_complex.jpg
- Command line
-
hf download hf://abbuibuibui/MimiPearlbaton-Lora/evaluation/09_complex.jpg
-
curl -L -o 09_complex.jpg https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/09_complex.jpg
728 kB

- Xet hash:
- fd63fadd59545e761bb3616516b21fe20d5ddeee81d8bd54152a5d9f097b7350
- Size of remote file:
- 728 kB
- SHA256:
- fff69eceb24412d5e3a932d41cd47efa814929df082c3b3963a89dd165202eb2
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