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:
- ebb1f84433dfc24407b2362453e3bdaad1e352f14db235cda489140c424e1fd1
- Size of remote file:
- 6.88 GB
- SHA256:
- 5589b97a3ec932e58f7ae9f2da05ff76055c048c82ae982a900b002d92c76746
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