Instructions to use serbdev/another-lora-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use serbdev/another-lora-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("serbdev/another-lora-2") prompt = "p3rs0n a man walking his dog on a leash, holding a magnifying glass in his hand. He is wearing a blue shirt and jeans, and has a determined expression on his face. The dog is a medium-sized breed with a white and brown coat. The background of the image is a bright blue sky with white clouds. --d 40" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| [general] | |
| shuffle_caption = false | |
| caption_extension = '.txt' | |
| keep_tokens = 1 | |
| [[datasets]] | |
| resolution = 256 | |
| batch_size = 1 | |
| keep_tokens = 1 | |
| [[datasets.subsets]] | |
| image_dir = '/app/fluxgym/datasets/another-lora-2' | |
| class_tokens = 'p3rs0n' | |
| num_repeats = 20 |