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:
- c05ed43aaa829059af07b42282ac26678f038b4c06dade13cf5ae57b1927c7d5
- Size of remote file:
- 4 MB
- SHA256:
- ac97cb0f6e3884a7f9078d9e3ed739c3c6aeb3cb9861c335e92fc60312743c90
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