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:
- 6d5959697eb0041f8d4cb79aa7d1ff8265747a7d9d29aa4575a16d09d2db9070
- Size of remote file:
- 6.64 MB
- SHA256:
- e1d07bfecdeda02f4ecba501fc59f5d89e8a9803576916501a9657e642a65233
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