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:
- 662e0bfb5da671ae43ea2ebba1eec6fa839dcda494e1138e42f614db747f8f2a
- Size of remote file:
- 3.44 GB
- SHA256:
- f7b0f3f5f6aa3f3ecf28842585e1bc4d98564784b279b3157dba13fd95f63539
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