Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/26 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/26", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
End of training
Verified signature73ec810 -
End of training
Verified signature0693c65 -
End of training
Verified signature8d17628 -
End of training
Verified signature37bd2f8
-
End of training
Verified signatured6e96d1 -
End of training
Verified signature3aebd41
-
End of training
Verified signature0fcabaa
-
End of training
Verified signature7b05a4e -
initial commit
Verified signatureb123553