Instructions to use Plugiloinc/PlugiloImage2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Plugiloinc/PlugiloImage2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3.5-large", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Plugiloinc/PlugiloImage2") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e7cd23320c49746b109291d9a40fce036a51b676f7c083d328fe0a6d91472edf
- Size of remote file:
- 7.53 MB
- SHA256:
- c88d04a3299bb39fa123ecadfd4e32e5f9284b86603bdafefed60acefdb05f56
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