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("GregggDoe/flex")
prompt = "- bodybuilder flexing muscles"
image = pipe(prompt).images[0]flexflex
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- - bodybuilder flexing muscles
- Prompt
- - bodybuilder making selfie photo
- Prompt
- - muscular men
Trigger words
You should use flexilya 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 GregggDoe/flex
Base model
black-forest-labs/FLUX.1-dev