Instructions to use quasar529/ft-sd15-class-instance2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quasar529/ft-sd15-class-instance2 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("quasar529/ft-sd15-class-instance2") prompt = "an identification photo of iom man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 5e648ea46f8293b22050bda930142a53b5486aea0d095a65bcc9ab3c8fdba3d6
- Size of remote file:
- 6.64 MB
- SHA256:
- 371e746e552f1f3ab14af9088c2c85582ae95b503ca74571240eeb4a981b51c2
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