Instructions to use Shero448/rio_futaba_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/rio_futaba_2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-pony-xl-v1-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/rio_futaba_2") prompt = "masterpiece, best quality, amazing quality, 1girl, solo," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 852 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/00002-2975302372.png
text: masterpiece, best quality, amazing quality, 1girl, solo,
parameters:
negative_prompt: >-
bad quality, worst quality, worst detail, sketch, censor, simple
background, transparent background,
base_model: John6666/prefect-pony-xl-v1-sdxl
instance_prompt: KJOrio, brown hair, yellow eyes, long hair
---
# rio_futaba_2
<Gallery />
## Trigger words
You should use `KJOrio` to trigger the image generation.
You should use `brown hair` to trigger the image generation.
You should use `yellow eyes` to trigger the image generation.
You should use `long hair` to trigger the image generation.
## Download model
[Download](/Shero448/rio_futaba_2/tree/main) them in the Files & versions tab.
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