Instructions to use Toraong/pm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Toraong/pm2 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("Toraong/pm2") prompt = "1girl, charlotte_dunois, " image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
pm2

- Prompt
- 1girl, charlotte_dunois,
- Negative Prompt
- bad quality, low quality, worst quality, extra digit, fewer digit, nail polish, monochrome, 3d, realistic, photography_\(artwork\),
Model description
style lora
Trigger words
You should use no word to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Toraong/pm2
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
Liberata/illustrious-xl-v1.0