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/tomasbilyPerson")
prompt = "tomasbily a man standing in the grass wearing a white and grey t-shirt, with a tree in the background."
image = pipe(prompt).images[0]tomasbily
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- tomasbily a man standing in the grass wearing a white and grey t-shirt, with a tree in the background.
- 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 standing in the grass with his arms crossed, wearing a white and ash colored t-shirt. In the background, there are a few trees in green.
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/tomasbilyPerson
Base model
black-forest-labs/FLUX.1-dev