Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/clock with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/clock with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KCS97/clock", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks clock" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c05e68c88b8ce50d98c1a06fefa30871c7e36479c522805c714cd8ff19b3b2de
- Size of remote file:
- 6.88 GB
- SHA256:
- e9957ec1ed08e228b385b7c08fb4732397ef37f22e13b53ea08b1c92b1bda3fb
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