Instructions to use Microloft/dirk_witte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Microloft/dirk_witte 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("Microloft/dirk_witte") prompt = "dirk_witte" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 213a160d924302187e8797a493933566679f600b81d385506986db42b64a1723
- Size of remote file:
- 172 MB
- SHA256:
- 6124d0e96e9aa4a5004511f0adaec8d14a820ed5bb630a84d27baaa996e79a64
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