Instructions to use ostris/kontext_big_head_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/kontext_big_head_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ostris/kontext_big_head_lora") prompt = "give this person a big head" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Could you share the original dataset here?
#2
by JJHaggar - opened
Hi, and thank you so much for all your work! :D
Could you share the original dataset? I'd like to try reproducing the same LoRA on my PC before I start creating my own datasets for training custom LoRAs. That would be super helpful.
Thanks again, cheers!
I added the original dataset to the repo. It is in the dataset folder.
Thank you very much! ^^
JJHaggar changed discussion status to closed