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", 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
File size: 129 Bytes
508d9ef | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2fbdb2bd5b9c815f4e0fc042ee956c8f965eed231a892d138621bfa7cb6ef848
size 1000
|