Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/fancy_boot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/fancy_boot 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/fancy_boot", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks boot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 81bd6e47f47fdaf8de7c2d4bbab8a6a1dae6ea24966e7c70d454f8c05a5084b0
- Size of remote file:
- 6.88 GB
- SHA256:
- 4c6015b340bb941299739b93b2f6ce77c1e6f28b2249f2a1fb0c7c16350519d3
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