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("VHKE/flat-flippflop")
prompt = "flat flpflop"
image = pipe(prompt).images[0]flat flippflop
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- flat flpflop
Trigger words
You should use flat flpflop 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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Base model
black-forest-labs/FLUX.1-dev