Instructions to use quasar529/ft-sd15-simpleinstance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use quasar529/ft-sd15-simpleinstance 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-simpleinstance") prompt = "photo of a human face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- a05899a5acdc329805a9c500715e83515eb5db9b9b104a3a75f5a09f28eb19aa
- Size of remote file:
- 6.64 MB
- SHA256:
- 67485fba270d602b99213bd3e655ab57ca44a9b9dfd77f074b42bc5ce38ce2e5
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