Instructions to use PhilSad/phil-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use PhilSad/phil-lora-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("PhilSad/phil-lora-2") prompt = "a photo of sks man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 133 Bytes
1b0e757 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:13d10870c84527e6d629ed806da176c7f4edcb730e41033c114f162ce862d147
size 23664755
|