Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use shivanvitha21/testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shivanvitha21/testing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shivanvitha21/testing", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 78c519436a4f0208d913f29b027d1a45e26a7dd9a16fa4c9cedc4bc2af16c8fd
- Size of remote file:
- 3.44 GB
- SHA256:
- 6e1c85c3ca6cd3ef8a7acc8a3d958abe6de07d50704cea943947dc9579dfb3df
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