Instructions to use nachomartinezl/nacho with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nachomartinezl/nacho with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SY573M404/f222-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nachomartinezl/nacho") prompt = "a photo of 7766c9e50f2b person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 954e40dc01d2a73ab8e0a0bd1ba15e79a19e532ba0f114ed7b84ad65bc6dfa33
- Size of remote file:
- 6.59 MB
- SHA256:
- b3e1af4b02f54fe7b636c557c0dc51cfe8e4008818999fed1134ed364fafb142
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