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", torch_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:
- e16d9f4ab1ffe88ad2f003b8317b0a761ab0f263077709f858f11ca7361c10bb
- Size of remote file:
- 3.29 MB
- SHA256:
- c11414ea687c48d7a5ec93bca1a66b24ad56c22ade38110d7f3223b1dc819465
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