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:
- 9d953200b0fc0738319f1f7d7f0947e0ea1b1c01c34fd6634a816aaca37a1a2e
- Size of remote file:
- 1.53 MB
- SHA256:
- f61aeee397d789b7c3f67f1c5798d7efac1bff8dac6a992cc35ee3a806e1bb47
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