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:
- 5140506527c6e83e871ed682fc0b6f9b97d8856d7186e5339a7f6bf580179e40
- Size of remote file:
- 195 MB
- SHA256:
- aa573e59075ea76cdc09b0a70fe4ef6c64a10ee330253880c1e9cad71804e37a
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