Instructions to use Shero448/gina2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/gina2 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/ilustrealmix-v20-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/gina2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 506 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: '-'
output:
url: images/2025-02-23_23-47-20_6674.png
base_model: John6666/ilustrealmix-v20-sdxl
instance_prompt: gina\(sololeveling\)
---
# gina2
<Gallery />
## Trigger words
You should use `gina\(sololeveling\)` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/Shero448/gina2/tree/main) them in the Files & versions tab.
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