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/07_sitting.jpg from abbuibuibui/MimiPearlbaton-Lora: direct link, hf CLI and curl.
- Browser
- Download file 593 kB
-
https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/07_sitting.jpg
- Command line
-
hf download hf://abbuibuibui/MimiPearlbaton-Lora/evaluation/07_sitting.jpg
-
curl -L -o 07_sitting.jpg https://huggingface.co/abbuibuibui/MimiPearlbaton-Lora/resolve/main/evaluation/07_sitting.jpg
593 kB

- Xet hash:
- d111cd1ceeb6854335ac10c681c8d7808a03741407775a2f3ab7c0bd51a56779
- Size of remote file:
- 593 kB
- SHA256:
- 508dcbb828c2e547f991b69a166e18d8b4551f7d70e8b89d611ac90303089e86
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