Instructions to use taraxis/cftst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use taraxis/cftst with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("taraxis/cftst", dtype=torch.bfloat16, device_map="cuda") prompt = "fctlstst" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f847aae194da3919bf435248037641749bf13678a19091648d19bb51ff09d6ea
- Size of remote file:
- 2.13 GB
- SHA256:
- c11a08188db765584fba987ba05526be8e14f51e64442f4f6c5d40b31247aa72
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