--- tags: - text-to-image - lora - diffusers - template:diffusion-lora - Golden-Particle widget: - text: >- Golden Dust, A close-up shot of a golden retriever dogs face is seen in a vibrant orange hue. The dogs fur is a mix of brown and white, and the dogs nose is a darker shade of brown. Its eyes are a deep brown, and its ears are a lighter brown. The background is blurred, and there are small orange dots dotting the fur around its neck, adding a festive touch to the scene. output: url: images/GD1.png - text: >- Golden Dust, A close-up view of a cheeseburger on a table. The hamburger is made up of a dark brown bun, with a layer of melted cheese on top of it. The cheese is a bright yellow, and there is a red sauce dripping from the bun. The bun is adorned with sesame seeds, adding a touch of sparkle to the scene. The table under the hamburger, is a dark wooden table, and the lighting is subdued, creating a stark contrast to the burger. output: url: images/GD2.png - text: >- Golden Dust, A close-up eye-level shot of a womans face, adorned with sparkles of golden light. The womans eyes are adorned with green eyes, adding a pop of color to the scene. Her eyebrows are a darker shade of brown, while her eyelashes are a lighter shade of green. Her lips are a vibrant shade of red, her nose is adorned with a light pink tint. Her hair is a dark brown, wavy, and she has long bangs. The background is dark, creating a stark contrast to her face. output: url: images/GD3.png base_model: black-forest-labs/FLUX.1-dev instance_prompt: Golden Dust license: creativeml-openrail-m --- # Golden-Dust-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/Golden-Dust-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 | 25 & 2500| | Epoch | 15 | Save Every N Epochs | 1 | Labeling: florence2-en(natural language & English) Total Images Used for Training : 17 [ Hi-RES ] ## Other Sample Image ![prithivMLmods/Golden-Dust-Flux-LoRA](images/GD4.png) ## 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/Golden-Dust-Flux-LoRA" trigger_word = "Golden Dust" pipe.load_lora_weights(lora_repo) device = torch.device("cuda") pipe.to(device) ``` ## Data source - https://freeflo.ai/ ## Trigger words You should use `Golden Dust` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/prithivMLmods/Golden-Dust-Flux-LoRA/tree/main) them in the Files & versions tab.