Instructions to use Luo-Yihong/yoso_sd1.5_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Luo-Yihong/yoso_sd1.5_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Luo-Yihong/yoso_sd1.5_lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Corrupted
#3 opened about 1 year ago
by
qpqpqpqpqpqp
could you give an exact example about informative initialization for 1 step generation with lora?
5
#2 opened over 2 years ago
by
greasebig
为什么你提供的lora权重加载失败呢
4
#1 opened over 2 years ago
by
greasebig