Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", 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
- Xet hash:
- 065835d31c66a98fb879a20e688ee16e9423fbb2c798beb0d20df008c0c2aeef
- Size of remote file:
- 776 Bytes
- SHA256:
- 678110c4d4b3ebf6a3851bd43a33013da6251ab24ad49e9c89ec6c2defbfa2ac
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