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:
- 1052c56e735cb3c10ccfd7893be74d2f76ab1238ab22961a1c2c405fc7ed8cd2
- Size of remote file:
- 1.26 MB
- SHA256:
- de271cb0f1fef51651d0cf5adc805330c91094e85093308993da6cfac600b1bc
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