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:
- 3d9f133c48d6c2dd4f48e2e803745ca1051d66218592923142cbd991d9fb8228
- Size of remote file:
- 195 MB
- SHA256:
- 211a1827ea28a11a6f247f13159ea61546cc2814c3893d30e93c5cd0bec7dd54
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