Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use AZhe1220/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AZhe1220/path-to-save-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AZhe1220/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of 38468 dress" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 818cfb1c23ff005cda7ff7f3d5dbf1889b7fe78148354962d88b8363ae9ac2a9
- Size of remote file:
- 3.44 GB
- SHA256:
- 4d588e68abbb44fb3c059f6b1da83963339578798e10a71f37d8917ef4a0bde8
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