metadata
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
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 them in the Files & versions tab.
Use it with the 🧨 diffusers library
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