Instructions to use AiMamis/Pixie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiMamis/Pixie with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AiMamis/Pixie") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from AiMamis/Pixie: direct link, hf CLI and curl.
- Browser
- Download file 647 Bytes
-
https://huggingface.co/AiMamis/Pixie/resolve/main/README.md
- Command line
-
hf download hf://AiMamis/Pixie/README.md
-
curl -L -o README.md https://huggingface.co/AiMamis/Pixie/resolve/main/README.md
647 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Pixie_00001_.png
text: '-'
base_model: krea/Krea-2-Turbo
instance_prompt: Pixie, Blonde 1950s hair, Green hazel eyes, fair skin
license: openrail++
Pixie

- Prompt
- -
Trigger words
You should use Pixie to trigger the image generation.
You should use Blonde 1950s hair to trigger the image generation.
You should use Green hazel eyes to trigger the image generation.
You should use fair skin to trigger the image generation.
Download model
Download them in the Files & versions tab.