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
File size: 260 Bytes
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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 |