Instructions to use atomicangel1999/DLA_Test_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use atomicangel1999/DLA_Test_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B-Diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("atomicangel1999/DLA_Test_LoRA") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DLA_Test_Example

- Prompt
- -
Trigger words
You should use diffusion limited aggregation to trigger the image generation.
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