Instructions to use rikiwi/Tiagami with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rikiwi/Tiagami 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,deepseek-ai/DeepSeek-R1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rikiwi/Tiagami") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Tiagami

- Prompt
- -

- Prompt
- White bearded man, tiagami style
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 rikiwi/Tiagami
Base model
black-forest-labs/FLUX.1-dev