Instructions to use AlekseyCalvin/RealComic-Kontext_FluxLoRA_by_vjleoliu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlekseyCalvin/RealComic-Kontext_FluxLoRA_by_vjleoliu 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-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("AlekseyCalvin/RealComic-Kontext_FluxLoRA_by_vjleoliu") prompt = "convert the image into a realcomic style illustration" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
RealComic-Kontext_LoRA
Low Rank Adapter (LoRA) for Flux KONTEXT Dev
|||| By vjleolui ||||
Low-Rank Adapter (LoRA) for FLUX Kontext editing/instruction model(s)...
This LoRA reliably converts realistic images to a distinctive detailed illustration style.
Made/shared by vjleoliu. Absolutely all credit to them.
This repo is merely a repost from the CivitAI page for this LoRA.
The motivations for this repost are:
i.Archival (CivitAI remains far more fickle than HF).
ii.Enabling expedient use of this adapter on ZERO-GPU-equipped gradio spaces.

- Prompt
- convert the image into a realcomic style illustration
Prompt using:
realcomic, convert the image into an illustration style, etc...
- Downloads last month
- 11
Model tree for AlekseyCalvin/RealComic-Kontext_FluxLoRA_by_vjleoliu
Base model
black-forest-labs/FLUX.1-Kontext-dev