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:
- b475244a2a97ee3fece1cc189caf0bf655c7b564c563114a3a430f2c0d2ab277
- Size of remote file:
- 1.73 GB
- SHA256:
- c89a6fda3c35141a905e20ea494eb4e2dae3aac0e0d60476cef73dc9c8a04100
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