metadata

tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: A man jogging by the riverbank a man at jo
    output:
      url: samples/1726293007497__000001000_0.jpg
  - text: A man lecturing at a university a man at jo
    output:
      url: samples/1726293032739__000001000_1.jpg
  - text: A person in a bustling cafe a man at jo
    output:
      url: samples/1726293057989__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: a man at jo
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

photo-jo

Model trained with AI Toolkit by Ostris

Prompt
A man jogging by the riverbank a man at jo

Prompt
A man lecturing at a university a man at jo

Prompt
A person in a bustling cafe a man at jo

Trigger words

You should use a man at jo 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('seawolf2357/photo-jo', weight_name='photo-jo')
image = pipeline('A man jogging by the riverbank a man at jo').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers