Instructions to use gsdf/Replicant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gsdf/Replicant with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gsdf/Replicant", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 3d8bd74af787b2181f5f4766f971a02127252fd2caf7366627a8bd401a7452f3
- Size of remote file:
- 6.9 MB
- SHA256:
- 3ffff0b5eba06f2827874bf45d3ab510addd2901da695cc2eba7f3d342727286
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