Instructions to use devass121/kkroto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use devass121/kkroto 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("devass121/kkroto") prompt = "MRTPKK" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f2c21f5b732b3a9bc45b8f05f0cde2bdd6349c61a2250f9e4193f1632a417fc0
- Size of remote file:
- 537 MB
- SHA256:
- d01b61de77fa26ceffbea6fc581da4022f9401877910c02804b7bf93d80e6baf
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