---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
-   text: FRM$ a majestic mountain range with snow-capped peaks in the background,
        illuminated by the setting sun. The sky is a beautiful mix of oranges, pinks,
        and purples, creating a stunning backdrop for the majestic peaks.
    output:
        url: samples/1737567430393__000005000_0.jpg
-   text: FRM$ a river flowing near a mountain and plains land, firewatch style,  watch
        tower on mountain, purplish dominant color, animals
    output:
        url: samples/1737567451430__000005000_1.jpg
-   text: FRM$ a breathtaking view of the Great Smoky Mountains from the top of a
        mountain at sunset. The sky is a beautiful mix of oranges, pinks, and purples,
        and the clouds are illuminated by the setting sun. The mountains are silhouetted
        against the sky, creating a stunning landscape.
    output:
        url: samples/1737567472380__000005000_2.jpg
-   text: FRM$ a small, secluded lake nestled amidst a valley of stylized, low-poly
        mountains, reminiscent of the Firewatch art style. A simple wooden watchtower
        overlooks the lake, its silhouette sharp against the warm, orange and pink
        hues of a sunset sky.  A small herd of deer graze peacefully near the lakeshore.
        The overall scene should evoke a sense of tranquility and isolation, with
        a vibrant yet slightly muted color palette.
    output:
        url: samples/1737567493341__000005000_3.jpg
base_model: ostris/Flex.1-alpha

license: creativeml-openrail-m


---

# backdrops_v2
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />

## Trigger words

No trigger words defined.

## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

[Download](/Cossale/Frames-Flex2/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('ostris/Flex.1-alpha', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Cossale/Frames-Flex2', weight_name='backdrops_v2.safetensors')
image = pipeline('FRM$ a majestic mountain range with snow-capped peaks in the background, illuminated by the setting sun. The sky is a beautiful mix of oranges, pinks, and purples, creating a stunning backdrop for the majestic peaks.').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)