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("cocktailpeanut/king")
prompt = "kng is a doctor"
image = pipe(prompt).images[0]king
A Flux LoRA trained on a local computer with Fluxgym
- Prompt
- kng is a doctor
- Prompt
- kng is jogging in new york central park
- Prompt
- kng is eating hamburger
Trigger words
You should use kng 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 cocktailpeanut/king
Base model
black-forest-labs/FLUX.1-dev