Instructions to use rahulbaradol/kantara-kontext-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rahulbaradol/kantara-kontext-dev 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("rahulbaradol/kantara-kontext-dev") prompt = "A cinematic forest inspired by the Kantara theme, with lush greenery, mystical lighting breaking through the trees, and tribal people in traditional attire performing rituals or gathering together, evoking a spiritual and dramatic atmosphere with a touch of folklore and divine energy" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
kantara-kontext-dev
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- A cinematic forest inspired by the Kantara theme, with lush greenery, mystical lighting breaking through the trees, and tribal people in traditional attire performing rituals or gathering together, evoking a spiritual and dramatic atmosphere with a touch of folklore and divine energy
Trigger words
You should use kantara to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
Weights for this model are available in Safetensors format.
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Model tree for rahulbaradol/kantara-kontext-dev
Base model
black-forest-labs/FLUX.1-Kontext-dev