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---
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)
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