Instructions to use AllwaysFurious/classicdnd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AllwaysFurious/classicdnd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AllwaysFurious/classicdnd") prompt = "A colossal skeletal dragon coiled around a crumbling gothic spire under a blood-red moon, dark fantasy ink style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- bd43fdde45ce5b89294632e22490bdf54c145e136ab749c9503872ccd3f9422f
- Size of remote file:
- 1.38 MB
- SHA256:
- 44c8bd9f6ee756a1a61f8e1134755f57fc9887aa9e1410a70be419d4e6b90893
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