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:
- 8c31535c41984a9465d46f7c06fe3d38fd1da04647a833f0a8ed87797512b09f
- Size of remote file:
- 4 MB
- SHA256:
- e74df00d7601272fd689e62f1109486d4aa0bc5bedeadfed38bd23d9ebe1dea2
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