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:
- 799561a5f913bb939f6496601109d54896d67d400a17e4f2d52755475e023072
- Size of remote file:
- 8.17 kB
- SHA256:
- 9f2eb2df43363646d3bc5e4677bde4bf6cf16d82c02c164a4d0952ece63fb323
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