Instructions to use dereckd/tikitotem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dereckd/tikitotem with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dereckd/tikitotem") prompt = "tikitotem" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 881cb884d1e1f0282e5af48c49c6b7b5b2d949026140362726cef141a55e652b
- Size of remote file:
- 4 MB
- SHA256:
- 9d3036dd469f1f6c0a2e0a12a6aa54dce9320b90603b6fe1d1c778232de3a319
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