--- tags: - text-to-image - lora - diffusers - template:diffusion-lora - Polaroid - Warm - art - i2i base_model: black-forest-labs/FLUX.1-Kontext-dev widget: - src: images/1.jpg text: >- [photo content], in the style of a vintage Polaroid, with warm, faded tones, and a white border. prompt: > [photo content], in the style of a vintage Polaroid, with warm, faded tones, and a white border. output: url: images/2.png instance_prompt: >- [photo content], in the style of a vintage Polaroid, with warm, faded tones, and a white border. license: other license_name: flux-1-dev-non-commercial-license license_link: LICENSE.md pipeline_tag: image-to-image --- ![1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/OwlnWuOr0qc_owljkqeM1.png) # **Polaroid-Warm-i2i [Image-to-Image]** Polaroid-Warm-i2i is an adapter built for black-forest-lab's FLUX.1-Kontext-dev, designed to generate seamless vintage Polaroid-style images with warm, faded tones. The model was trained on 30 image pairs (15 start images, 15 end images) to achieve high-quality style transfer and image manipulation. Synthetic result nodes were generated using NanoBanana from Google and labeled with DeepCaption-VLA-7B. The adapter is triggered with the following prompt: > [!note] [photo content], in the style of a vintage Polaroid, with warm, faded tones, and a white border. --- ## Sample Inference | ex1 | ex2 | |------|-------| | ![Left Screenshot](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/lFOJyUVVQ1xfPFlpVeK54.png) | ![Right Screenshot](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/C99N95TbLVjwR5nynyCD2.png) | --- ## Parameter Settings | Setting | Value | | ------------------------ | ------------------------ | | Module Type | Adapter | | Base Model | FLUX.1 Kontext Dev - fp8 | | Trigger Words | [photo content], in the style of a vintage Polaroid, with warm, faded tones, and a white border. | | Image Processing Repeats | 50 | | Epochs | 30 | | Save Every N Epochs | 1 | Labeling: DeepCaption-VLA-7B(natural language & English) Total Images Used for Training : 30 Image Pairs (15 Start, 15 End) Synthetic Result Node generated by NanoBanana from Google (Image Result Sets Dataset) ## Training Parameters | Setting | Value | | --------------------------- | --------- | | Seed | - | | Clip Skip | - | | Text Encoder LR | 0.00001 | | UNet LR | 0.00005 | | LR Scheduler | constant | | Optimizer | AdamW8bit | | Network Dimension | 64 | | Network Alpha | 32 | | Gradient Accumulation Steps | - | ## Label Parameters | Setting | Value | | --------------- | ----- | | Shuffle Caption | - | | Keep N Tokens | - | ## Advanced Parameters | Setting | Value | | ------------------------- | ----- | | Noise Offset | 0.03 | | Multires Noise Discount | 0.1 | | Multires Noise Iterations | 10 | | Conv Dimension | - | | Conv Alpha | - | | Batch Size | - | | Steps | 4300 | | Sampler | euler | --- ## Trigger words You should use `[photo content]` to trigger the image generation. You should use `in the style of a vintage Polaroid` to trigger the image generation. You should use `with warm` to trigger the image generation. You should use `faded tones` to trigger the image generation. You should use `and a white border.` to trigger the image generation. ## Download model [Download](/prithivMLmods/Polaroid-Warm-i2i/tree/main) them in the Files & versions tab.