Instructions to use axmeeabdhullo/hiyala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use axmeeabdhullo/hiyala 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("axmeeabdhullo/hiyala") prompt = "Dhivehi hiyala with red libaas and black hijab , gold necklace on her neck in the jungle of banyan tree and coconut palm tree , UHD , Hyper realistic, detailed" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("axmeeabdhullo/hiyala")
prompt = "Dhivehi hiyala with red libaas and black hijab , gold necklace on her neck in the jungle of banyan tree and coconut palm tree , UHD , Hyper realistic, detailed"
image = pipe(prompt).images[0]Hiyala

- Prompt
- Dhivehi hiyala with red libaas and black hijab , gold necklace on her neck in the jungle of banyan tree and coconut palm tree , UHD , Hyper realistic, detailed

- Prompt
- Dhivehi hiyala with red libaas and black hijab , gold necklace on her neck in the jungle of banyan tree and coconut palm tree , UHD , Hyper realistic, detailed

- Prompt
- Dhivehi hiyala with dark blue libaas and black hijab , gold necklace on her neck, in a beach of maldivies, UHD , Hyper realistic, detailed

- Prompt
- Dhivehi hiyala with green libaas and black hijab , gold necklace on her neck , UHD , Hyper realistic, detailed

- Prompt
- Dhivehi hiyala with green libaas and black hijab , gold necklace on her neck , UHD , Hyper realistic, detailed

- Prompt
- Create a portrait of a woman with a confident expression, wearing traditional attire in shades of green and gold, featuring intricate patterns and gold jewelry. The woman has smooth, styled hair with a decorative hair accessory. The background is an outdoor setting with a beach and lush greenery , UHD , Hyper realistic, detailed

- Prompt
- Create a portrait of a young woman dhivehi hiyala standing in a rustic setting, framed by an open window made of natural materials like wood and thatched palm leaves. She is wearing a vibrant red traditional dress with intricate golden and multicolored embroidery around the neckline, accessorized with a long, gold necklace. Her expression is serene and confident, with her hands gently clasped in front of her. The background features lush green foliage, creating a natural and peaceful atmosphere. The lighting is soft and warm, emphasizing the details of her attire and the textures of the surrounding environment.

- Prompt
- Create a portrait of a young woman dhivehi hiyala standing in a rustic setting, framed by an open window made of natural materials like wood and thatched palm leaves. She is wearing a vibrant red traditional dress with intricate golden and multicolored embroidery around the neckline, accessorized with a long, gold necklace. Her expression is serene and confident, with her hands gently clasped in front of her. The background features lush green foliage, creating a natural and peaceful atmosphere. The lighting is soft and warm, emphasizing the details of her attire and the textures of the surrounding environment.

- Prompt
- Dhivehi hiyala and full height with yellow libaas and black hijab , gold necklace on her neck, in a dhoani (sail boat) of maldivies, UHD , Hyper realistic, detailed
Trigger words
You should use dhivehi hiyala to trigger the image generation.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('axmeeabdhullo/hiyala', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for axmeeabdhullo/hiyala
Base model
black-forest-labs/FLUX.1-dev