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- README.md +67 -0
- backdrops_v2.safetensors +3 -0
- backdrops_v2_000002000.safetensors +3 -0
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README.md
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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- ai-toolkit
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widget:
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- text: FRM$ a majestic mountain range with snow-capped peaks in the background,
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illuminated by the setting sun. The sky is a beautiful mix of oranges, pinks,
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and purples, creating a stunning backdrop for the majestic peaks.
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output:
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url: samples/1737567430393__000005000_0.jpg
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- text: FRM$ a river flowing near a mountain and plains land, firewatch style, watch
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tower on mountain, purplish dominant color, animals
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output:
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url: samples/1737567451430__000005000_1.jpg
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- text: FRM$ a breathtaking view of the Great Smoky Mountains from the top of a
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mountain at sunset. The sky is a beautiful mix of oranges, pinks, and purples,
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and the clouds are illuminated by the setting sun. The mountains are silhouetted
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against the sky, creating a stunning landscape.
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output:
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url: samples/1737567472380__000005000_2.jpg
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- text: FRM$ a small, secluded lake nestled amidst a valley of stylized, low-poly
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mountains, reminiscent of the Firewatch art style. A simple wooden watchtower
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overlooks the lake, its silhouette sharp against the warm, orange and pink
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hues of a sunset sky. A small herd of deer graze peacefully near the lakeshore.
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The overall scene should evoke a sense of tranquility and isolation, with
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a vibrant yet slightly muted color palette.
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output:
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url: samples/1737567493341__000005000_3.jpg
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base_model: ostris/Flex.1-alpha
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license: creativeml-openrail-m
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---
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# backdrops_v2
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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<Gallery />
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## Trigger words
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No trigger words defined.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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Weights for this model are available in Safetensors format.
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[Download](/Cossale/Frames-Flex2/tree/main) them in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('ostris/Flex.1-alpha', torch_dtype=torch.bfloat16).to('cuda')
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pipeline.load_lora_weights('Cossale/Frames-Flex2', weight_name='backdrops_v2.safetensors')
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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]
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image.save("my_image.png")
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```
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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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backdrops_v2.safetensors
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