Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/backpack_dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/backpack_dog 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/backpack_dog", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks backpack" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 54aed49195a7706bc1b59b5d4112a7679e88344a20c2ddb60ae38727e0cc27ac
- Size of remote file:
- 6.88 GB
- SHA256:
- b4506cdb3af7ce51e084c74e8e7a36223575824d3fe9d1416a4aa4007cb77383
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