Canopus-Car-Flux-Dev-LoRA

Car-Flux-Dev-LoRA

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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

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

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 them in the Files & versions tab.