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:
- 401bfadfdd73f3a654abc0a951a404f576ab8ef0f53b3bdbaf5c9d5a3810ebc1
- Size of remote file:
- 6.07 MB
- SHA256:
- dd475ff516776fd8b183a3a2584cb4984fb8efacad51055b8c8eae292003102b
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