Instructions to use martineux/thumbsup with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use martineux/thumbsup with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("martineux/thumbsup", 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:
- b0c338bf77b1db543b7dc5e7e69dd69fc6ebd8559292d0f25a9eae75aadd0fcb
- Size of remote file:
- 167 MB
- SHA256:
- e238417677a9cd39aed50ce74fb10dfab5763e82b32ea797e05a1e57e020c514
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