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/n3wl-k")
prompt = "n3wl@@k"
image = pipe(prompt).images[0]n3wl@@k
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- n3wl@@k
Trigger words
You should use n3wl@@k 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.
- Downloads last month
- 5
Model tree for VHKE/n3wl-k
Base model
black-forest-labs/FLUX.1-dev