Instructions to use burhansyam/difarina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use burhansyam/difarina 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("burhansyam/difarina") prompt = "Indonesian singer Difarina Indra wearing greed dress" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Difarina Indra

- Prompt
- Indonesian singer Difarina Indra wearing greed dress
Trigger words
You should use indonesian to trigger the image generation.
You should use lady to trigger the image generation.
You should use girl to trigger the image generation.
You should use woman to trigger the image generation.
You should use indonesia to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for burhansyam/difarina
Base model
black-forest-labs/FLUX.1-dev