Instructions to use pharaohe/dwarfblondesianfacelora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pharaohe/dwarfblondesianfacelora 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("pharaohe/dwarfblondesianfacelora") prompt = "woman" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 267 Bytes
ccfcc91 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | [general]
shuffle_caption = false
caption_extension = '.txt'
keep_tokens = 1
[[datasets]]
resolution = 512
batch_size = 1
keep_tokens = 1
[[datasets.subsets]]
image_dir = '/app/fluxgym/datasets/dwarfblondesianfacelora'
class_tokens = 'woman'
num_repeats = 5 |