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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0e786373cd22ad686025465737bfdc8de0c324de0c27a2f4b60703687fac9739
- Size of remote file:
- 47.4 MB
- SHA256:
- c496269f4bedcac694e2f6d3220b9a14d16989cf9761636d2512f63a0aad815c
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