Instructions to use theqore/tyili with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use theqore/tyili 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("theqore/tyili") prompt = "Ty1l1" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Tyili
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- Ty1l1

- Prompt
- Ty1l1 in a karate movie poster

- Prompt
- Ty1l1 as a superhero

- Prompt
- Ty1l1 in a suite in a boardroom

- Prompt
- Ty1l1 as a 3D animation
Trigger words
You should use Ty1l1 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 theqore/tyili
Base model
black-forest-labs/FLUX.1-dev