metadata

tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - image-generation
  - flux
  - safetensors
widget:
  - text: >-
      a young college student, walking on the street, campus background,
      photography
    output:
      url: images/2f82e6b1e5969d70a9044c19975bcdcca06b0f251d14f9c2c6095fa6.jpg
  - text: a young woman, New York City
    output:
      url: images/340c1ae6709f56f3d8176848653dcade93d2b5b8ade662da167ef818.jpg
  - text: >-
      happy stunning girl with long dark hair, wearing blue clothes, playing
      guitar, a beautiful field of flowers, colorful flowers everywhere, hills
      in the background
    output:
      url: images/ec9a40eed46e8d17d3db1560a6543c6e6be9ebe1e41ecd5d137c01e0.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
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

FLUX.1-dev-LoRA-AntiBlur

This is a functional LoRA trained on FLUX.1-dev for deep DoF (Anti-Blur🔥) by Vadim_Fedenko on Shakker AI.

Showcases

Prompt
a young college student, walking on the street, campus background, photography

Prompt
happy stunning girl with long dark hair, wearing blue clothes, playing guitar, a beautiful field of flowers, colorful flowers everywhere, hills in the background

Comparison

Trigger words

The trigger word is not required. The recommended scale is 1.0 to 1.5 in diffusers.

Inference

import torch
from diffusers import FluxPipeline

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-AntiBlur", weight_name="FLUX-dev-lora-AntiBlur.safetensors")
pipe.fuse_lora(lora_scale=1.5)
pipe.to("cuda")

prompt = "a young college student, walking on the street, campus background, photography"

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
             width=768, height=1024,
            ).images[0]
image.save(f"example.png")

Online Inference

You can also run this model at Shakker AI, where we provide an online interface to generate images.

Acknowledgements

This model is trained by our copyrighted users Vadim_Fedenko. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.