Instructions to use lonen78u/trial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lonen78u/trial 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("lonen78u/trial") prompt = "T7I5A0 man with long green hair" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
trial
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- T7I5A0 man with long green hair

- Prompt
- T7I5A0 two men kissing

- Prompt
- T7I5A0 women with blue eyes crying wearing a dress

- Prompt
- T7I5A0 man is shirtless and hairy
Trigger words
You should use T7I5A0 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 lonen78u/trial
Base model
black-forest-labs/FLUX.1-dev