Instructions to use Aloukik21/trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Aloukik21/trainer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Aloukik21/trainer") 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

- Xet hash:
- 77b9ea370338a76ccedd33456e0c825b53152744eed135a7aad410f8ff0777de
- Size of remote file:
- 1.67 MB
- SHA256:
- 5bff488da88933a529825e4fd72e10c3824e22508dc1d6f36b49850fa517ac44
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