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
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- squoggle.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:38ac900cb806d74101b3e6bdf542f63217fcbb829917fe6235d19891efe47a4c
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size 214928528
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