Instructions to use rzgar/flux-kontext-noobify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rzgar/flux-kontext-noobify 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("rzgar/flux-kontext-noobify") prompt = "replace the scared man with a super excited anthropomorphic cat + apply the noobify style to the image" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Noobify Image

- Prompt
- replace the scared man with a super excited anthropomorphic cat + apply the noobify style to the image

- Prompt
- apply the noobify style to the image

- Prompt
- Remove the lables, buttons and texts printed on the image + apply the noobify effect to the image

- Prompt
- apply the noobify style to the image

- Prompt
- apply the noobify style to the image

- Prompt
- apply the noobify style to the image
Model description
The "noobify" LoRA, triggered with the word "noobify," converts any image into a smooth, realistic-illustration style with anime-inspired details using Flux Kontext. It simplifies the process of achieving this effect without complex prompts, making it great for content creation and freelance projects.
Trigger words
You should use noobify to trigger the image generation.
Model Strength
Download model
Download them in the Files & versions tab.
- Downloads last month
- 7
Model tree for rzgar/flux-kontext-noobify
Base model
black-forest-labs/FLUX.1-Kontext-dev