Instructions to use lora-library/man-junwym-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/man-junwym-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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lora-library/man-junwym-2") prompt = "photo of junwym" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 9f4e9458d4acd6a9b4707aa3a6b15887f9ea4fd4d744461c61c3dcaf00429f41
- Size of remote file:
- 3.42 MB
- SHA256:
- d6c197da293b5814fb14c092986157e240133b4e3a086dcea4d1667db708b738
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