Instructions to use SidXXD/182 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/182 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/182", 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:
- 3f818e5fa08885487561983022a22cce079576fcba8cccc69846f8b341be3866
- Size of remote file:
- 76.7 MB
- SHA256:
- d8aff55a89eff93ce5e2029447eaf3144d5269a8d8a7ce52d494cc58e38433c7
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