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- 31343255.jpeg +0 -0
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- 31343350.jpeg +0 -0
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- Neon_Environments.safetensors +3 -0
- README.md +113 -0
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Neon_Environments.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:357c363ba395597548dfba62603d1e11512e3735b4d5e6e8e56f1eb5499f98d9
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size 19271800
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README.md
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---
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license: other
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license_name: bespoke-lora-trained-license
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license_link: https://multimodal.art/civitai-licenses?allowNoCredit=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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- migrated
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- 3d
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- bar
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- background
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- arcade
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- living room
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- train
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- bathroom
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- bowling
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- diner
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- pub
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- hallway
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- backgrounds
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- neons
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- escalator
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- disco bar
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt:
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widget:
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- text: ' '
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output:
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url: >-
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---
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# Neon Environments
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<Gallery />
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([CivitAI](https://civitai.com/models/))
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## Model description
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<p>Introducing Neon Environments Model: Illuminating Arcades and Pubs</p><p>Neon Environments Model, is designed to generate visually striking images inspired by arcades, pubs, and other premises adorned with neon lights.</p>
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/Keltezaa/neon-environments/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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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
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pipeline.load_lora_weights('Keltezaa/neon-environments', weight_name='Neon_Environments.safetensors')
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image = pipeline('Your custom prompt').images[0]
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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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