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metadata
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - image-generation
  - flux
  - safetensors
widget:
  - text: >-
      A young man, gold hair, white T-shirt. The background is 4 real photos,
      and in the middle is a cartoon picture summarizing the real photos.
    output:
      url: images/b4425607370dcaa80717519f157a64436dd92238dc60786639845551.jpg
  - text: >-
      A panda.The background is 4 real photos, and in the middle is a cartoon
      picture summarizing the real photos.
    output:
      url: images/f2cc649985648e57b9b9b14ca7a8744ac8e50d75b3a334ed4df0f368.jpg
  - text: >-
      A young girl, red hair, blue dress. The background is 4 real photos, and
      in the middle is a cartoon picture summarizing the real photos.
    output:
      url: images/9104a1e9c1debdb1188c06a5e07bf4a084f0d8005e082f01f8de7c19.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: >-
  The background is 4 real photos, and in the middle is a cartoon picture
  summarizing the real photos
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-One-Click-Creative-Template

This is a LoRA trained on FLUX.1-dev by Nvwa_model_studio for creative photos.

Showcases

Prompt
A young man, gold hair, white T-shirt. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.
Prompt
A panda.The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.
Prompt
A young girl, red hair, blue dress. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.

Trigger words

You should use The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos. to trigger the image generation. The recommended scale is 1.0 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-One-Click-Creative-Template", weight_name="FLUX-dev-lora-One-Click-Creative-Template.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")

prompt = "A young girl, red hair, blue dress. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos."

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
             width=960, height=1280,
            ).images[0]
image.save(f"example.png")

Online Inference

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

Acknowledgements

This model is trained by our copyrighted users Nvwa_model_studio. We release this model under permissions.