Instructions to use SidXXD/77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/77 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/77", 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:
- 91d8417dc73b837ffdac1ca274028480d9d9beb57565981fae0b0069ebd08780
- Size of remote file:
- 76.7 MB
- SHA256:
- 82ebddf23df6d6ce7516e3e3f979b2e6b304b6eca10280f89eb5fe058b71c2e5
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