Instructions to use steven-lf/letterfest-WCAP-lora-flux-dev-edit-2-lora-500steps-125pairs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use steven-lf/letterfest-WCAP-lora-flux-dev-edit-2-lora-500steps-125pairs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("undefined", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("steven-lf/letterfest-WCAP-lora-flux-dev-edit-2-lora-500steps-125pairs") prompt = "LFSTYLWCA, convert image to watercolour illustration" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
letterfest WCAP lora flux dev edit 2 lora 500steps 125pairs
Model description
Trigger words
You should use LFSTYLWCA, convert image to watercolour illustration to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-2-trainer/edit.
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