| library_name: diffusers | |
| base_model: black-forest-labs/FLUX.1-dev | |
| tags: | |
| - lora | |
| - flux | |
| - text-to-image | |
| license: mit | |
| # LoRA Model: AldaraLora_Civitai_FLUX_Wave_V3_2 | |
| Test LoRA model exported from API server | |
| ## Usage | |
| ### Trigger Word | |
| Use the following trigger word in your prompts: | |
| ``` | |
| AldaraLora_Civitai_FLUX_Wave_V3_2 | |
| ``` | |
| ### Example | |
| ```python | |
| from diffusers import DiffusionPipeline | |
| import torch | |
| pipe = DiffusionPipeline.from_pretrained( | |
| "black-forest-labs/FLUX.1-dev", | |
| torch_dtype=torch.float16 | |
| ) | |
| pipe.load_lora_weights("chriswang2025/chris") | |
| prompt = "AldaraLora_Civitai_FLUX_Wave_V3_2, a beautiful landscape" | |
| image = pipe(prompt).images[0] | |
| image.save("output.png") | |
| ``` | |
| ## Model Details | |
| - **Trigger Word**: `AldaraLora_Civitai_FLUX_Wave_V3_2` | |
| - **Base Model**: FLUX.1-dev | |
| - **Type**: LoRA (Low-Rank Adaptation) | |
| - **Version**: 1.0 | |
| ## License | |
| MIT License | |