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
File size: 647 Bytes
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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
<Gallery />
## 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](/AiMamis/Pixie/tree/main) them in the Files & versions tab.
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