Instructions to use FloydianSound/WLOP_Diffusion_v1-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FloydianSound/WLOP_Diffusion_v1-5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FloydianSound/WLOP_Diffusion_v1-5", 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:
- 1ab631df1ee669c16816321541491390f818a504e38708b4de5a2144e5942df9
- Size of remote file:
- 492 MB
- SHA256:
- 8d7599640635f3da9575147e23adb323ee77d22db3f8a7941434554f811255e9
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