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:
- d31300fe51d042ecc1da7b8859c94ea43813ffb8d5d086b2468c6ea6dc1454e6
- Size of remote file:
- 1.73 GB
- SHA256:
- 20fb4d135cd9355da1ab0402c913fa7fab921d9d50235089d2a73205e1068f2a
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