FLUX.1-dev-LoRA-Micro-landscape-on-Mobile-Phone

This is a LoRA trained on FLUX.1-dev for micro landscape on mobile phone by DalaBengba on Shakker AI.

Showcases

Prompt

This poster shows a smartphone on a black background. The iphone screen shows a miniature scene, an amusement park scene, seamlessly integrated into the phone's frame. The scene is set from the top left to the bottom right of the phone, creating a perspective that draws the viewer into the tiny world. In the middle is a huge Ferris wheel, surrounded by many amusement facilities and shops

Prompt

This poster shows a smartphone on a black background. The iphone screen shows a miniature scene, a street scene, seamlessly integrated into the iphone's frame. The scene is set from the top left to the bottom right of the phone, creating a perspective that draws the viewer into the tiny world. In the middle of the picture is the apple Store, which is a glass house. It is surrounded by shopping malls and shops

Prompt

This poster shows a smartphone against a dark background. The phone screen reveals a miniature stereoscopic scene of eiffel tower, Paris, seamlessly integrated into the phone’s frame

Trigger words

The trigger word is not required. The recommended scale is 0.6 to 0.9 in diffusers.

Usage suggestion

When you come up with a scene, you can directly give it to GPT to enrich the details. At the beginning, you can tell it this: 'I am using AI drawing software for creation, and I need you to help me write some prompts in natural language. Start the sentence like this: This poster shows a smartphone against a dark background. The phone screen reveals a miniature scene of a xxxxxxx landscape, seamlessly integrated into the phone’s frame. In this sentence, xxxxxxx represents the specific scene. After this sentence, add some specific details about the scene.

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-Micro-landscape-on-Mobile-Phone", weight_name="FLUX-dev-lora-micro-landscape.safetensors")
pipe.fuse_lora(lora_scale=0.7)
pipe.to("cuda")

prompt = "This poster shows a smartphone against a dark background. The phone screen reveals a miniature stereoscopic scene of New York City, seamlessly integrated into the phone’s frame."

image = pipe(prompt, 
             num_inference_steps=24, 
             guidance_scale=3.5,
            ).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 DalaBengba. We release this model under permissions. The model follows flux-1-dev-non-commercial-license.