Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use yuanbit/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yuanbit/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("yuanbit/model", dtype=torch.bfloat16, device_map="cuda") prompt = "ohwx man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3aebe47af018cff070c79abe37291048672db0c37140580729d2c5979ae23e2d
- Size of remote file:
- 3.44 GB
- SHA256:
- 473dde96cb8db41d0f28d5c1f6ed759ef87256164b67903644834c0a2569be2d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.