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 showcase/04_complex_night.png from abbuibuibui/MimiPearlbaton-Lora: direct link, hf CLI and curl.
- Browser
- Download file 1.18 MB
-
https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/showcase/04_complex_night.png
- Command line
-
hf download hf://abbuibuibui/MimiPearlbaton-Lora/showcase/04_complex_night.png
-
curl -L -o 04_complex_night.png https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/showcase/04_complex_night.png
1.18 MB

- Xet hash:
- 9297d4785197819fd67ac14a195240c992be75e988edb17fada614a520b99f95
- Size of remote file:
- 1.18 MB
- SHA256:
- 604575af99d67a9c8c296f7e0ab6cf0e043352fc8e7146aca757bd457d79797c
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