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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: Medium shot, rear three-quarter angle of a c4r set against a white background
output:
url: samples/1728653631091__000005000_0.jpg
- text: Close-up, rear angle of a c4r set against a white background
output:
url: samples/1728653663542__000005000_1.jpg
- text: Closeup, frontal angle of a c4r set against a white background
output:
url: samples/1728653695995__000005000_2.jpg
- text: Three-quarter rear angle medium shot of a c4r set against a white background
output:
url: samples/1728653728446__000005000_3.jpg
- text: Profile view, medium shot of a c4r set against a white background
output:
url: samples/1728653760889__000005000_4.jpg
- text: A close-up, rearview shot of a c4r set against a white background
output:
url: samples/1728653793330__000005000_5.jpg
- text: Medium shot of a c4r parked at the edge of a volcanic crater with steam
rising in the background
output:
url: samples/1728653825777__000005000_6.jpg
- text: Three-quarter front angle of a c4r stopping at a red light in Times Square
at night
output:
url: samples/1728653858232__000005000_7.jpg
- text: Three-quarter rear view of a c4r kicking up dust on a desert trail at sunset
output:
url: samples/1728653890663__000005000_8.jpg
- text: Close-up of a c4r's wheel kicking up snow as it climbs a winding mountain
road
output:
url: samples/1728653923093__000005000_9.jpg
- text: Wide shot of a c4r driving on a beach at sunset with surfers in the background
output:
url: samples/1728653955544__000005000_10.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: c4r
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
---
# range_rover_ait_v2
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `c4r` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/davidrd123/Flux-RangeRover-AIToolkit/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('davidrd123/Flux-RangeRover-AIToolkit', weight_name='range_rover_ait_v2.safetensors')
image = pipeline('Medium shot, rear three-quarter angle of a c4r set against a white background').images[0]
image.save("my_image.png")
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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