Instructions to use paths1551/surface-fall with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use paths1551/surface-fall with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("paths1551/ds6-paths1223-30", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("paths1551/surface-fall") prompt = "sks artstyle" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c843b9a38fa757faabc627a13496fcc055e0300a1a3af64775fb8d5ee84b2f4c
- Size of remote file:
- 9.03 MB
- SHA256:
- 0e184d03d83883f7b5c156ff3e42e6075c4d34b5a01b111b215c38bb788a8932
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