Instructions to use codebuilt/katie with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use codebuilt/katie 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("codebuilt/katie") prompt = "KATIE" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- bc285f2417eeab49c70f34095bdb13ad5052983a3ee5c09f1f6ebc9934088fd2
- Size of remote file:
- 172 MB
- SHA256:
- 5fba995388f946e288e6e454c477e5d4eedd5f73c7ac0f8dd536f235eac201fb
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