Instructions to use pocholo30/pcsv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pocholo30/pcsv with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pocholo30/pcsv", 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:
- a214c3745b37d896fd856e0045866a6ac1ba257c2500d277211dff5297afda04
- Size of remote file:
- 246 MB
- SHA256:
- f952d13523590d5be1e8acedf7b85328f290fa115ae86207479d09eff86b5817
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