--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: 'Isometric Building: A top-down view of a rustic farmhouse with a green tin roof and red-brick walls. The farm includes a small barn, a chicken coop, and a tractor parked in the field. Rows of crops stretch out behind the farmhouse, and a wooden fence surrounds the property.' output: url: images/5.png - text: 'Isometric Building: A top-down view of a two-story beach house with a large wooden deck overlooking the ocean. The house features a blue roof and white walls, with large glass doors opening to the deck. The deck has lounge chairs, a surfboard, and a barbecue grill. The sandy beach stretches out in the background, with palm trees swaying in the breeze.' output: url: images/6.png - text: 'Isometric Building, a 3-level view of a two-story house, adorned with a black roof and a black balcony. The house is situated on a grassy lawn, with a swimming pool on the right side of the frame. The pool is surrounded by a wooden deck, with chairs and a white umbrella on the deck. A black SUV is parked in front of the house, adding a pop of color to the scene. A fire pit is lit up in the middle of the lawn, creating a warm and inviting ambiance.' output: url: images/1.png - text: 'Isometric Building, a top-down view of a two-story white house with a blue roof is seen against a beige backdrop. The house is adorned with a variety of plants, including a tree, a table, and a bench, adding a touch of greenery to the scene. The staircase leads to the entrance of the house, which is flanked by a brown wooden gate. The ground is covered in grass, with a small patio in the middle of the stairs.' output: url: images/2.png - text: 'Isometric Building, a top-down view of a two-story house with a pool in the foreground. The pool is surrounded by a lush green lawn, with a variety of plants and shrubs, adding a touch of greenery to the scene. The house is adorned with a white bed, a white blanket, and a white umbrella. The balcony of the house casts a shadow on the ground, providing a contrast to the blue sky.' output: url: images/3.png - text: 'Isometric Building, An aerial view of a two story white house with a blue pool in the middle of it. There is a white car parked on the right side of the house. There are two trees on the left side and right side as well as a small white car on the bottom right side.' output: url: images/4.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: Isometric Building license: creativeml-openrail-m --- ![szfdvzsdfvg.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/I1iqKbtC98j1aNF4HEcIp.png) # Model description for Flux-Isometric-Site-LoRA Image Processing Parameters | Parameter | Value | Parameter | Value | |---------------------------|--------|---------------------------|--------| | LR Scheduler | constant | Noise Offset | 0.03 | | Optimizer | AdamW | Multires Noise Discount | 0.1 | | Network Dim | 64 | Multires Noise Iterations | 10 | | Network Alpha | 32 | Repeat & Steps | 24 & 2770 | | Epoch | 17 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 18 [ HD ] ## Best Dimensions & Inference | **Dimensions** | **Aspect Ratio** | **Recommendation** | |-----------------|------------------|---------------------------| | 1280 x 832 | 3:2 | Best | | 1024 x 1024 | 1:1 | Default | ### Inference Range - **Recommended Inference Steps:** 30–35 ## Setting Up ```python import torch from pipelines import DiffusionPipeline base_model = "black-forest-labs/FLUX.1-dev" pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16) lora_repo = "strangerzonehf/Flux-Isometric-Site-LoRA" trigger_word = "Isometric Building" pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## Trigger words You should use `Isometric Building` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/strangerzonehf/Flux-Isometric-Site-LoRA/tree/main) them in the Files & versions tab.