---
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: 'A black ford mustang parked in the parking lot, in the style of futurism influence, uhd image, furaffinity, focus, street photography, thin steel forms, 32k uhd --ar 2:3 --v 5'
  output:
    url: images/qqq.png
- text: 'Ferrari car f3 458 tt, in the style of liam wong, fujifilm x-t4, multiple exposure, tsubasa nakai, uhd image, pinturicchio, crimson --ar 16:9 --v 5.2'
  output:
    url: images/www.png
- text: 'Bugatti Veyron in cobalt blue metallic, high detail, octane render, 8k'
  output:
    url: images/eee.png
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Car
license: creativeml-openrail-m
---
# Car-Flux-Dev-LoRA

<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/Canopus-Car-Flux-Dev-LoRA**

Image Processing Parameters 

| Parameter                 | Value  | Parameter                 | Value  |
|---------------------------|--------|---------------------------|--------|
| LR Scheduler              | constant | Noise Offset              | 0.03   |
| Optimizer                 | AdamW8bit | Multires Noise Discount   | 0.1    |
| Network Dim               | 64     | Multires Noise Iterations | 10     |
| Network Alpha             | 32     | Repeat & Steps           | 22 & 1.5K+ |
| Epoch                     | 15     | Save Every N Epochs       | 1      |

Labeling: florence2-en(natural language & English) 

Total Images Used for Training : 40+ [ Hi-RES ]

& More ...............

## Trigger prompts

    A black ford mustang parked in the parking lot, in the style of futurism influence, uhd image, furaffinity, focus, street photography, thin steel forms, 32k uhd --ar 2:3 --v 5
    
    Ferrari car f3 458 tt, in the style of liam wong, fujifilm x-t4, multiple exposure, tsubasa nakai, uhd image, pinturicchio, crimson --ar 16:9 --v 5.2
    
    Bugatti Veyron in cobalt blue metallic, high detail, octane render, 8k

 
| Parameter       | Value                                                                                 |
|-----------------|---------------------------------------------------------------------------------------|
| Prompt          | Bugatti Veyron in cobalt blue metallic, high detail, octane render, 8k |
| Sampler         | euler                                                                                 |

## 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/Canopus-Car-Flux-Dev-LoRA"
trigger_word = "car"  # Leave trigger_word blank if not used.
pipe.load_lora_weights(lora_repo)

device = torch.device("cuda")
pipe.to(device)
```


## Trigger words

You should use `Car` to trigger the image generation.


## Download model

Weights for this model are available in Safetensors format.

[Download](/prithivMLmods/Canopus-Car-Flux-Dev-LoRA/tree/main) them in the Files & versions tab.