Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/teapot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/teapot 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/teapot", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks teapot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fe345c6426f41e5159e5b1a766196e6adea9ce5c3c784d37b9a0e13d571fcc4c
- Size of remote file:
- 6.88 GB
- SHA256:
- 497c8ba2d4852cfaddfe233b04408a2ba2af007dd5c7839c4c636fd8f578b5c2
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