Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/shiny_sneaker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/shiny_sneaker 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/shiny_sneaker", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks sneaker" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 90a196ddbdbe5247f1d3529f3bacb853c17fc44972e0436819828519e24d8435
- Size of remote file:
- 6.88 GB
- SHA256:
- 5b7b598124a70734cb26f01d06114fa681044535bffa5c07df533cddde94ab8e
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