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:
- a3d9f16b6eb1d18c2452b425da42c3707f4e560a290af18a9db545d7a93d3dc5
- Size of remote file:
- 1.73 GB
- SHA256:
- 80234169a43e62a9b0bcf4c5fbf608fae2e889c16c9ee2f82113f12fc6c9d582
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