Instructions to use voxx14/loopchunky with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use voxx14/loopchunky 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("voxx14/loopchunky") prompt = "loopchunky" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- e8d4d653756a0dbdce0f169a5c31e87eeb3ec6303aec4a3745519ca355f77820
- Size of remote file:
- 172 MB
- SHA256:
- 595addb3a3d8e9a8d8112d769d94ce293f4165aa7dcb512c3dfe701c50cea527
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