--- tags: - text-to-image - stable-diffusion - lora - diffusers - image-generation - flux - safetensors widget: - text: >- 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 output: url: images/577fa923f011853d6e96afd3dbd05810cf85625fec0614a36ca5e490.jpg - text: >- 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 output: url: images/a29b8763a8f733dea09c1ab07a42263ef6e304cb81be3f5c97fbf8f6.jpg - text: >- 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 output: url: images/c4f5c765bc8d3d396ed13d65666895ab23ada35c78ca6d91bf814613.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-Micro-landscape-on-Mobile-Phone This is a LoRA trained on FLUX.1-dev for micro landscape on mobile phone by [DalaBengba](https://www.shakker.ai/userpage/1dfc365becb94c78b5a79499ca3c8685/publish) on [Shakker AI](https://www.shakker.ai/modelinfo/d6d1c836954a420aa87dc4672621fb6d?from=feed).
## Showcases ## 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 ```python 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](https://www.shakker.ai/modelinfo/d6d1c836954a420aa87dc4672621fb6d?from=feed), where we provide an online interface to generate images. ## Acknowledgements This model is trained by our copyrighted users [DalaBengba](https://www.shakker.ai/userpage/1dfc365becb94c78b5a79499ca3c8685/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).