Instructions to use Akalabeth12/Text-to-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akalabeth12/Text-to-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Akalabeth12/Text-to-Image", 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
Download CONTROLNET/table5_pidinet.pth from Akalabeth12/Text-to-Image: direct link, hf CLI and curl.
- Browser
- Download file 2.87 MB
-
https://huggingface.co/Akalabeth12/Text-to-Image/resolve/main/CONTROLNET/table5_pidinet.pth
- Command line
-
hf download hf://Akalabeth12/Text-to-Image/CONTROLNET/table5_pidinet.pth
-
curl -L -o table5_pidinet.pth https://huggingface.co/Akalabeth12/Text-to-Image/resolve/main/CONTROLNET/table5_pidinet.pth
2.87 MB
- Xet hash:
- 9a530ed2d9dde1c54b2f77c0749f94b0c9e5afde4ceaee8d2394499f6491092c
- Size of remote file:
- 2.87 MB
- SHA256:
- 80860ac267258b5f27486e0ef152a211d0b08120f62aeb185a050acc30da486c
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