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

- Prompt
- thiloguru Buddha sitting in a lotus position on a white lotus

- Prompt
- thiloguru Buddha meditating Under a large sacred fig tree
Trigger words
You should use thiloguru 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/thiloguru
Base model
black-forest-labs/FLUX.1-dev