metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: k1unpan a man smiles
output:
url: samples/1738526980241__000003000_0.jpg
- text: k1unpan a man is very surprised
output:
url: samples/1738527018254__000003000_1.jpg
- text: k1unpan a man laughs
output:
url: samples/1738527056219__000003000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: k1unpan a man
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
k1unpan-a-man
Model trained with AI Toolkit by Ostris

- Prompt
- k1unpan a man smiles

- Prompt
- k1unpan a man is very surprised

- Prompt
- k1unpan a man laughs
Trigger words
You should use k1unpan a man
to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('None', weight_name='k1unpan-a-man.safetensors')
image = pipeline('k1unpan a man smiles').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers