Instructions to use SidXXD/67 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/67 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/67", 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:
- 589b5f904f32dd12a8e28cee48fd1905ccdaa1e885c678c8b1df567f07453f44
- Size of remote file:
- 76.7 MB
- SHA256:
- 925d998a4de9ffc035549e49ada5e3e75c99f01adb35bd17d6fc7e473f96bec4
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