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
- Draw Things
- DiffusionBee
- Xet hash:
- 32f4a710819d86d0f71ba5b59509ebd90885d004198baf0b3024829df8256995
- Size of remote file:
- 492 MB
- SHA256:
- 09f43aa4d3a1945d6a12b64cbd57228b13d88ae17cee031ced39749a413d8c9c
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