Instructions to use Kumar-kun/kuman-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kumar-kun/kuman-generator with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kumar-kun/kuman-generator", 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:
- ba4c60a25a9b64c38a6afbde83a504c680eda11e8253152c63c9682e40169a49
- Size of remote file:
- 492 MB
- SHA256:
- dd93dac287726becd5934838c6e4a3354863d65e5fb8495b935f63fb3a4cd746
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