Instructions to use quasar529/ft-sd15-instance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quasar529/ft-sd15-instance 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-instance") prompt = "an identification photo of iom man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3bb0a35ba459f4d66d9a5ca7fde4e50477413ee982d031f2f3aeffd6ced7c467
- Size of remote file:
- 6.64 MB
- SHA256:
- 38c2ac3275c519bd300c2ded24cc30d7597d8d749d472cc115ad798992f7235b
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