Instructions to use rickbox/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rickbox/test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rickbox/test", 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:
- 3dbf4bf9ee1ad6d618157ed360f28906b176d03a32a6c4ccb606e704c01f013a
- Size of remote file:
- 3.44 GB
- SHA256:
- b75c60887c6fa1131731c94da643e16d7f7975c447553dc1fec3441f0711f26a
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