Instructions to use SidXXD/65 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/65 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/65", 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
- Xet hash:
- a53a64d9ee1cfc79a7434968bd2d4cc89aaa90b73661c525d1426f4e323b1ff8
- Size of remote file:
- 76.7 MB
- SHA256:
- cce8fc4625681e79c87fee4a80413a8faf82da34904592cc6e227bfb50df0bd7
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