Instructions to use phil329/face_lora_sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use phil329/face_lora_sd15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("phil329/face_lora_sd15") prompt = "A young woman with smile, wearing a purple hat." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Upload gradio_inference_t2i_lora.py
Verified signaturee4f41be -
Upload train_text_to_image_lora.py
Verified signaturef917a53 -
Upload the captions of CelebA-HQ and FFHQ datasets
Verified signatureededb34
-
Update README.md
Verified signaturee4cbf95
-
Update README.md
Verified signature4c444e4 -
Upload merge.png
Verified signature04386d3 -
Add 2 files
Verified signaturebeac77b -
initial commit
Verified signature62f94a1