Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use bartuso/stable-diffusion-oxified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bartuso/stable-diffusion-oxified with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bartuso/stable-diffusion-oxified", dtype=torch.bfloat16, device_map="cuda") prompt = "an image of the oxenai ox" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8398c59d0c79ee86851bc7092226909185929e2616bf8d1bc489386e5f2dd002
- Size of remote file:
- 3.44 GB
- SHA256:
- db44c0a4beb53e2af36b128012a321299e134759bb45622d53994f6854456fcc
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