Instructions to use bewiz/squogglelora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bewiz/squogglelora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bewiz/squogglelora") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 134 Bytes
f3fc137 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:38ac900cb806d74101b3e6bdf542f63217fcbb829917fe6235d19891efe47a4c
size 214928528
|