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:
- fa8a340f9019d37977993cffc790f29bb62f24d41b4aa4f09936e01dcd40752d
- Size of remote file:
- 462 kB
- SHA256:
- 29afb116fa497f5a9cfa29ba8f1ca93da54393fb56566ce3364a5836be144494
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