Instructions to use jakeythelad/lora_output_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jakeythelad/lora_output_2 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("jakeythelad/lora_output_2") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 598a882879197b98ce1c1e7f5fb5fa2e89eb9e1d420f7d81400a4ec2a5f3f137
- Size of remote file:
- 6.59 MB
- SHA256:
- 221312363c1a25020865a832ce1d681fcf058c4c24468533d989a333ca65d51f
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