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/10_no_outfit.jpg from abbuibuibui/MimiPearlbaton-Lora: direct link, hf CLI and curl.
- Browser
- Download file 546 kB
-
https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/10_no_outfit.jpg
- Command line
-
hf download hf://abbuibuibui/MimiPearlbaton-Lora/evaluation/10_no_outfit.jpg
-
curl -L -o 10_no_outfit.jpg https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/10_no_outfit.jpg
546 kB

- Xet hash:
- 4219d91f89af310108b2a1056d5563c1d1eb025c4deebd786ec5eb5a0c4ef794
- Size of remote file:
- 546 kB
- SHA256:
- d61900b78e9ba5b07c7e55d5e3af85561e12f53e1dd6563f97e91f074de92823
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