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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- Polaroid
widget:
- text: >-
Polaroid Collage, a collage of photographs of the New York City is displayed
on a white surface. The photographs are arranged in a grid-like pattern,
with a variety of buildings and skyscrapers visible. The buildings are lit
up, creating a stark contrast against the blue sky. The photograph is taken
from a low angle, adding a touch of depth to the composition.
output:
url: images/P1.png
- text: >-
Polaroid Collage, a collage of black and white photographs is displayed on a
white surface. The photographs are arranged in a grid-like pattern, with a
variety of shapes and sizes. Some of the photographs feature mountains,
trees, and a body of water. The mountains are covered in snow, and the sky
is filled with clouds, adding a touch of warmth to the scene.
output:
url: images/P3.png
- text: >-
Polaroid Collage, Captured in a black and white collage, a cats face is
featured prominently in the center of the frame. The cats eyes are a
piercing blue, and its whiskers are long and white, adding a pop of color to
the otherwise monochromatic image. The background is a stark white, creating
a stark contrast to the cats fur.
output:
url: images/P4.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Polaroid Collage
license: creativeml-openrail-m
---
# Flux-Polaroid-Plus
<Gallery />
**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/Flux-Polaroid-Plus**
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 | 23 & 3300 |
| Epoch | 17 | Save Every N Epochs | 1 |
Labeling: florence2-en(natural language & English)
Total Images Used for Training : 24
## Best Dimensions
- 768 x 1024 (Best)
- 1024 x 1024 (Default)
## 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 = "prithivMLmods/Flux-Polaroid-Plus"
trigger_word = "Polaroid Collage"
pipe.load_lora_weights(lora_repo)
device = torch.device("cuda")
pipe.to(device)
```
## Trigger words
You should use `Polaroid Collage` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/prithivMLmods/Flux-Polaroid-Plus/tree/main) them in the Files & versions tab. |