Instructions to use aimalias/tf0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/tf0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/tf0") prompt = "A TF0 woman wearing high-tech iridescent armor, standing amidst a neon-lit cyberpunk cityscape during a heavy rainstorm." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f63655fd2c72bd0da32ee19afef04dee47af6805ede91010197cf6825c127a13
- Size of remote file:
- 1.46 MB
- SHA256:
- 2cf5d842d3d3ed0da47a838bd3dc44e56f3c04d1be6d35f3f6a7b9748adab983
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.