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
language:
- en
library_name: diffusers
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
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.
We also provide an online ComfyUI workflow (Click Run Model) that accepts user-uploaded images to generate images
Acknowledgements
This model is trained by our copyrighted users Nvwa_model_studio. We release this model under permissions.