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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3c1b3cfb651af865dc17738b8dee44514148c5933153b4f46ef49df3bf19ac19
- Size of remote file:
- 6.64 MB
- SHA256:
- 05af2a1fc4a08d9ae01d6ed4175f8650bbd91d25ab34b4e67f8ebf37d01f9214
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