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/tomasbily04")
prompt = "tomasbily is standing in nature by the river wearing a nike t-shirt and jeans."
image = pipe(prompt).images[0]TomasBily
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- tomasbily is standing in nature by the river wearing a nike t-shirt and jeans.
- Prompt
- tomasbily stands in nature by the river wearing shirts and a coat and jeans.
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/tomasbily04
Base model
black-forest-labs/FLUX.1-dev