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README.md
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license: creativeml-openrail-m
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---
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---
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license: creativeml-openrail-m
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language:
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- en
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thumbnail:
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pipeline_tag: text-to-image
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tags:
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- stablediffusion
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- 'SDXL 1.0'
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- painting
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- landscapes
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- portraits
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- fantasy
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- style
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- characters
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---
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![model cover]()
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An SDXL 1.0 LoRa made by AI_Characters based on the official artwork for the "fantasy extraction shooter" game Dark and Darker by Ironmace, which can be found here.
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Usage recommendations:
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Weight: 1.0 (may need to be adjusted down when using in conjunction with other LoRa's) Model: SDXL 1.0 with 0.9 vae Generation parameters: 35 steps | DPM++ 2M Karras | CFG 7 Negative prompt: text, watermark, low-quality, signature, moiré pattern, downsampling, aliasing, distorted, blurry, glossy, blur, jpeg artifacts, compression artifacts, poorly drawn, low-resolution, bad, distortion, twisted, excessive, exaggerated pose, exaggerated limbs, grainy, symmetrical, duplicate, error, pattern, beginner, pixelated, fake, hyper, glitch, overexposed, high-contrast, bad-contrast with only the "G" text encoder enabled (see my article here for how to do that)
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Trigger words
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"artwork in imst artstyle"
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Changelog
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v2.0
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Complete revision - trained with a much lower learning rate but more epochs, leading to increased likeness, flexibility, and variety; added 12 official artworks of the various ingame classes which no longer exist ingame
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v1.0
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Initial release
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Additional Info
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Credit is not mandatory but I would still appreciate credit when posting images using these LoRa's on social media! Feel free to @ my Twitter and/or Instagram accounts too (@ai_characters)! I would love to know when it is used!
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I share all of my model's and training knowledge for free, but donations to my Ko-Fi would be greatly appreciated! Testing so much and training so many model's costs a lot of money (and time).
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Feel free to also try out my RVC2 AI voice models which you can find here!
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See here for an extensive article about my entire training workflow and configuration if you want to train your own SDXL 1.0 LoRa's and achieve results similar as me!
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Stats (v2.0)
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Dataset:
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26x artworks
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Epoch chosen for the final model:
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50
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Learning rate:
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3e-6
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For more info - including the training configuration used - see the article linked at the end of the "Additional Info" section.
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**Samples**
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For the generation data of these samples such as prompts and sampler settings please see the samples on the model's page on CivitAI [here(https://civitai.com/models/139182?modelVersionId=159232)]!
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![sample1]()
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![sample2]()
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![sample3]()
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![sample4]()
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![sample5]()
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![sample6]()
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![sample7]()
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![sample8]()
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