--- tags: - text-to-image - lora - diffusers - template:diffusion-lora widget: - text: 'Intense Red, a black cat is facing the left side of the frame. The cats head is tilted upward, with its eyes closed. Its whiskers are protruding from its mouth, adding a touch of warmth to the scene. The background is a vibrant red, creating a striking contrast with the cats fur.' output: url: images/IR1.png - text: 'Intense Red, A black bird is perched on a thin branch. The bird has a black body and a black tail. Its head is turned to the left and its beak is pointed to the right. The background is a vibrant red and there is a shadow of a tree on the right side of the frame. The branch that the bird is sitting on is dark brown and has a few small black spots on it.' output: url: images/IR2.png - text: 'Intense Red, a silhouette of a man in a black wetsuit stands on a beach, holding a black surfboard in his right hand. The mans shadow is cast on the ground, adding a touch of color to the scene. The background is a vibrant red, creating a striking contrast to the man and his surfboard.' output: url: images/IR3.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: Intense Red license: creativeml-openrail-m --- # Intense-Red-Flux-LoRA - Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC **The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.** ## Model description **prithivMLmods/Intense-Red-Flux-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 | 22 & 2.65K| | Epoch | 13 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 22 [ Hi-RES ] ## Best Dimensions - 1024 x 1024 (Default) ## Setting Up ``` 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 = "prithivMLmods/Intense-Red-Flux-LoRA" trigger_word = "Intense Red" pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## Data source - https://freeflo.ai/ ## Trigger words You should use `Intense Red` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/prithivMLmods/Intense-Red-Flux-LoRA/tree/main) them in the Files & versions tab.