Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use aaaleeex/OUTPUT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aaaleeex/OUTPUT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aaaleeex/OUTPUT", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of ohwx man" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 51ecd9adedf58e28c9d6b4a4a81e4c736e7d4f9e4e3a5505ed77b5c05e44d88e
- Size of remote file:
- 3.44 GB
- SHA256:
- 22b2c992ce8ee40ddd5873b57c5ba9eb516756b1c5ed9e75244375e0c751670c
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