metadata

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
language:
  - en
tags:
  - flux
  - diffusers
  - lora
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: Tim Walz
widget:
  - text: >-
      Tim Walz, black rimmed prescription glasses, ruffled business suite, loose
      tie, unbuttoned shirt, dirty clothes, down on his luck, sad, drunkard,
      wasted, sloppy drunk, neon street light, prostitutes in the background,
      city nightlife and crime scenery
    output:
      url: images/example_szc8vydmv.png

Timwalz Lora

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use Tim Walz to trigger the image generation.

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.float16).to('cuda')
pipeline.load_lora_weights('huwhitememes/timwalz-lora', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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