Instructions to use waelsh/dwayne-person with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use waelsh/dwayne-person with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("waelsh/dwayne-person", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 26fa568669db060a55b212485a7e4aaa52062d58ba5f44ee37a471f26010ccbf
- Size of remote file:
- 681 MB
- SHA256:
- 818c8f43fa8aa4d74befff4e7c268b44f56028d1a166ee7bb57994521c9e0a34
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