SDXL

AlbedoBase XL v1.3/v.2.0

#3DCG

アップロード日時: 2024/01/06 12:55
採用数: 14.9k
レビュー: 普通 (1)
サンプリングステップ: 27
サンプリング方法: Restart
CFGスケール: 6
ネガティブ: (worst quality, low quality:1.4), illustration, 3d, 2d, painting, cartoons, sketch, blur, blurry, blurred, bokeh, unclear, grainy, low resolution, downsampling, aliasing, dithering, distorted, jpeg artifacts, compression artifacts, overexposed, high-contrast, bad-contrast, poorly drawn, cropped, out of frame, [deformed, disfigured, suspenders], ((deformed iris, deformed pupils:1.4)), (physically-abnormal:2), (joint-inequalities:2), (limbs-inequalities:2), deformed, disfigured, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, dull eyes, mismatched eyes, bad anatomy, signature, watermark, artist name, text, error
権限: 画像生成と共有を許可する
ユーザーによるモデルのダウンロードを許可する
生成画像の商用利用を許可する

詳細説明

As of now, AlbedoBase XL v1.3 has merged exactly 141 selected checkpoints and 251 LoRAs.

★ 𝚟𝟸.𝟶 • I have written a custom script to converge the existing AlbedoBase XL models into one. Intricately aligning the row and column weights of all U-NET and CLIP blocks according to a unique formula of mine. If you encounter a bug in image generation (if nothing is generated), please switch to CLIP SKIP 2 or modify the prompt slightly! There may be combinations of prompts that CLIP does not recognize. In that case, you can change the order of words, use different words, or, most simply, change the CLIP SKIP. • I will gradually work on resolving these issues in the future like v1.3..

★𝚟𝟷.𝟹: • In order to illustrate the quality associated with the model's randomness, I standardized the seed value at '9' for all showcase images intended for sampling and proceeded with their immediate generation. • Especially with this version, due to the significant impact of negative prompts, leaving the negative prompt field empty is likely to produce the nice quality. • As you can see, as the number of Steps increases, it becomes available for all samplers, and the quality also improves. • Due to the effect of the LoRA I developed and merged, as described below, using sentence-form prompts rather than tag (a list of words) prompts is directly related to improving quality. • I merged 45 checkpoints and 7 LoRAs. After that, I merged AlbedoBase v0.4 and v0.3 in order, less than 0~5%, to reawaken the diluted merged models that had become outdated. • Among the 7 LoRAs, one is created by me. It involves analyzing and annotating captions for a total of 174 high-quality pictorial photos using GPT4-V. Merging this LoRA resulted in astonishingly clear images and an impressively excellent understanding of prompts.

★ 𝙲𝚛𝚎𝚍𝚒𝚝: https://civitai.com/models/140737?modelVersionId=238308 ★

Link to donate to the creator of this model = https://ko-fi.com/albedobond