Instructions to use Dino-LeeTaeHun/trained-lumina2-lora-Drawing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Dino-LeeTaeHun/trained-lumina2-lora-Drawing with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Alpha-VLLM/Lumina-Image-2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Dino-LeeTaeHun/trained-lumina2-lora-Drawing") prompt = "dr617gs gentleman walk in park" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 41a97d1f4e265a0ee65342250aff642972f7a922e62095fcb73696aa58f53f07
- Size of remote file:
- 5.09 MB
- SHA256:
- 1fc07d89a25e2ed7f1e96f5cbf6de3782671e6bf5139230ed21ea899f8f0665a
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