Instructions to use irodkin/controlnet_celeba_with_llava_captions_ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use irodkin/controlnet_celeba_with_llava_captions_ft with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("irodkin/controlnet_celeba_with_llava_captions_ft", 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:
- b26ee4e0a679425a95a24a412aff27fc6be038fdd1b5ec6afc453fb04905a18f
- Size of remote file:
- 1.45 GB
- SHA256:
- 514a812714a72d1b2307e1666be21e37dfa7c76390b43c5c1fbfa6c31c9daed8
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