Instructions to use exploer/tomasbilytestpro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use exploer/tomasbilytestpro 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("exploer/tomasbilytestpro") prompt = "tomasbily a man standing in a field wearing a blue t-shirt and a grey jacket. The background of the image is filled with lush green grass and tall trees." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
tomasbilytestpro
A Flux LoRA trained on a local computer with Fluxgym

- Prompt
- tomasbily a man standing in a field wearing a blue t-shirt and a grey jacket. The background of the image is filled with lush green grass and tall trees.

- Prompt
- tomasbily a man with a beard wearing a grey t-shirt, looking directly at the camera with a blurred background.
Trigger words
You should use tomasbily 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 exploer/tomasbilytestpro
Base model
black-forest-labs/FLUX.1-dev