Instructions to use kombuwa/podinilame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kombuwa/podinilame 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-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kombuwa/podinilame") prompt = "podinilame riding a elephant" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
podinilame
A Flux LoRA trained on Kandiyan Nilame Costume

- Prompt
- podinilame riding a elephant

- Prompt
- podinilame riding a horse

- Prompt
- podinilame siting on throne
Trigger words
You should use podinilame 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 kombuwa/podinilame
Base model
black-forest-labs/FLUX.1-dev