Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
diffusers-training
Instructions to use veddhanth/customdiff1989 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use veddhanth/customdiff1989 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("veddhanth/customdiff1989", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 376b6c82347cddd3f5a209ba72139316c43b04a50714a1ca1ee2f3d4354cddbc
- Size of remote file:
- 76.7 MB
- SHA256:
- 9af7964b2db5b4a38cfbcdc3aa5555fbd5f02ba064c5fe7cb730cca6f8b622c4
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