Instructions to use rickbox/test-c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rickbox/test-c 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-c", 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:
- 27d7d2476e6ee7e66071d23eb504845ca8e9cee7b9d263f7473e83857956e412
- Size of remote file:
- 3.44 GB
- SHA256:
- ded0ad9f1c0b0b474e85e241a56aa227217097996d9549f8c9dcafaf9f6dfd83
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