Instructions to use Shero448/sayan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/sayan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Liberata/illustrious-xl-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/sayan") prompt = "anime screenshot," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 879 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: anime screenshot,
parameters:
negative_prompt: >-
worst quality, old, early, low quality, lowres, signature, username, logo,
bad hands, mutated hands, mammal, anthro, furry, ambiguous form, feral,
semi-anthro
output:
url: images/00163-3820707470.png
base_model: Liberata/illustrious-xl-v1.0
instance_prompt: white saiyan armor, shoulder pads, blue leotard
---
# sayan
<Gallery />
## Trigger words
You should use `white saiyan armor` to trigger the image generation.
You should use `shoulder pads` to trigger the image generation.
You should use `blue leotard` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/sayan/tree/main) them in the Files & versions tab.
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