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:
- f14c1af4f790d2ea792753f46d9f0e93aeb4ec791fc55ccc55b8290ac8b51059
- Size of remote file:
- 6.59 MB
- SHA256:
- f3d839363673de3554fac99c4bd251ed2db4fc9a929e74586ff9f517c5f99c7f
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