| --- |
| license: creativeml-openrail-m |
| tags: |
| - flux |
| - lora |
| - kontext |
| - avatar |
| - image-to-image |
| - style-transfer |
| - na'vi |
| - stable-diffusion |
| - art |
| - character-design |
| - ai-generated |
| inference: true |
| --- |
| |
| # FLUX.1-Kontext-Dev Na'vi Style LoRA 🎨🧞♂️ |
|
|
| This is a LoRA adapter trained on top of the [`black-forest-labs/FLUX.1-Kontext-dev`](https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev) model to transform images into *Avatar-style Na'vi characters*, inspired by the visuals from James Cameron's *Avatar* films. |
|
|
| --- |
|
|
| ## 🧠 Model Details |
|
|
| - **Base Model**: FLUX.1-Kontext-dev (custom diffusion) |
| - **LoRA Rank**: 4 / 8 (depending on your version) |
| - **Training Resolution**: 1024*1024 |
| - **Target Style**: Na'vi characters (blue skin, elongated facial features, glowing eyes, etc.) |
| - **Architecture**: LoRA fine-tuning with Stable Diffusion compatible UNet blocks. |
| |
| --- |
| |
| ## 💻 Usage |
| |
| ### In Diffusers |
| |
| ```python |
| from diffusers import StableDiffusionPipeline |
| from peft import PeftModel |
| import torch |
| |
| # Load the base model |
| pipe = StableDiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.float16).to("cuda") |
| |
| # Load the LoRA adapter |
| pipe.unet.load_attn_procs("your-username/flux-kontext-na-vi-lora") |
| |
| # Use the model |
| prompt = "A close-up portrait of a Na'vi warrior in a glowing forest, cinematic lighting" |
| image = pipe(prompt).images[0] |
| image.save("output.png") |
