Instructions to use CapGo/duncify_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CapGo/duncify_test 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CapGo/duncify_test") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- afa40d5b3a20c5dc212e88cbd8ca0a418cb92321a524276de478ef4980655d46
- Size of remote file:
- 105 MB
- SHA256:
- 3bf1cec0494ef4273ac47b3b224d6c74a1a2d74253db7326c60f748b984e4795
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