<h1 id="full-report:-7ryhjg9ab">Full Report:</h1><h1 id="https:nieta-art.feishu.cnwikippwqwvdzjine5kkuhrtcesn6nmh-u7n1bcsgi"><a target="_blank" rel="ugc" href="https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh">https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh</a></h1><h3 id="first-release-address:-e3rcieloz">First release address:</h3>Civitai - <a target="_blank" rel="ugc" href="https://civarchive.com/models/410737">https://civarchive.com/models/410737</a>Liblib - <a target="_blank" rel="ugc" href="https://www.liblib.art/modelinfo/55b06e35dd724862b3524ff00b069fe8">https://www.liblib.art/modelinfo/55b06e35dd724862b3524ff00b069fe8</a><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=OTQ5MTg2MmE2YzI0MTM2YWQwMzkyMjMwODliYjY4NTJfcmx3cEJwUkJDVmgzNmN4YXd1NU5xWG5UcWxPRVNzTTlfVG9rZW46UWtiSmIzajVjb0N6aTV4bUlScmM5dzJObmRHXzE3MjE2OTk2OTk6MTcyMTcwMzI5OV9WNA" /><h1 id="i.-overview-06qjsecyx">I. Overview</h1><ul><li>We have updated Neta Art XL V2.0. Comparing to version 1.0, we have optimized the character's posture dynamics, further strengthened hand stability, and are very good at telling stories with atmospheric epic scenes.</li><li>Main motivation:<ul><li>In V1.0, the default poses generated by our characters are relatively fixed, while the new version enhances the sense of dynamics, diverse character camera expressions, and more precise prompt control.</li><li>On the basis of increasing more stylistic diversity, more stable anatomy has been maintained, especially the probability of having five fingers (instead of four or six) on the hands is now higher!</li><li>Further training methods for issues such as Rectified Flow and Noise Offset have been better deployed. The current picture has a strong sense of epic, and can now show very bright and dark scenery (as shown in the figure below).</li></ul></li></ul><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=N2VjYzUwNmY4N2Y4NThiNWU2ZmFlYjNhYzk5NjliODFfNlR4UHZwaENUVzNMQkFPaEJGOEd1YUo0dzBISjB0eTNfVG9rZW46WlZCVWJaQVJVb1EwOHZ4YWhLOGNydzlFblJoXzE3MjE2OTk2OTk6MTcyMTcwMzI5OV9WNA" />{ "prompt": "1girl, full moon, moonlight shadow, cinematic lighting, battle field, fighting armies, castle, warriors around, waving, looking at viewer, Heterochromatic pupil, sitting on a cliff, very dark, epic scene, inferno, cowboy shot, depressed, angel wings, solo, white long hair, wings bangs, beautiful color, amazing quality,", "negative_prompt": "nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, rating: sensitive, low contrast, signature, flexible deformity, abstract, low contrast, ", "resolution": "1344 x 768", "guidance_scale": 8, "num_inference_steps": 28, "sampler": "Euler a", "use_lora": null, "use_upscaler": { "upscale_method": "bislerp", "upscaler_strength": 0.65, "upscale_by": 1.5, "upscale_cfg": 11, "new_resolution": "2016 x 1152" }}<h3 id="prompt-guide-ti65joji7">Prompt guide</h3>In Neta V2, we re-trained based on ArtiWaifu Diffusion V1.0 (AWA1). Therefore, we used the prompt order summarized in ArtiWaifu:Tag order: art style ( by xxx ) - &gt; character ( 1 frieren (sousou no frieren) ) - &gt; race (elf) - &gt; composition (cowboy shot) - &gt; painting style ( impasto ) - &gt; theme (fantasy theme) - &gt; main environment (in the forest, at day) - &gt; background (gradient background) - &gt; action (sitting on ground) - &gt; expression (expressionless) - &gt; main characteristics (white hair) - &gt; other characteristics (Twintails, green eyes, parted lips) - &gt; clothing (wearing a white dress) - &gt; clothing accessories (frills) - &gt; other items (holding a magic wand) - &gt; secondary environment (grass, sunshine) - &gt; aesthetics ( beautiful color , detailed ) - &gt; quality ( best quality) - &gt; secondary description (birds, clouds, butterflies)<h1 id="v.-training-strategies-7ea3lvyd6">V. Training strategies</h1>Model Training is divided into three stages.<ol><li>Rough practice: Teach models basic knowledge and concepts of the second dimension. Learning Rate: Constants 1e-5 (unet), 7.5e-6 (text encoder) Equivalent batch size: 96 Optimizer: AdaFactor (False relative_step, scale_parameter and warmup_init) Noise-free offset Time step sampling: LogitNormal (ln3,1) Minimum signal to noise ratio: 5 Note: Since the basic model has most of the prior knowledge, this stage is skipped in actual training.</li></ol><ol><li>Concept Reinforcement: This stage teaches and reinforces all the concepts that the model needs to learn, including artists and characters with less data. The core strategy is data weighting - increasing the weight of data with less data, that is, the number of times it is repeatedly trained in a single epoch, and supplemented with other strategies to help concept learning, such as randomly removing core features of characters. The training parameters for the concept reinforcement stage are exactly the same as those for rough practice.</li><li>Refinement: This stage uses data with quality ratings of best and amazing to continue fine-tuning the model, freezes the text encoder, enables label randomization algorithm, adds noise offset of 0.0357, and uniformly samples time steps during training. Learning Rate: Constants 2e-6 (unet), 1e-6 (text encoder) Equivalent batch size: 48 Optimizer: AdaFactor (False relative_step, scale_parameter and warmup_init) Noise offset: 0.0357 Time step sampling: uniform distribution (same as normal training) Minimum signal to noise ratio: 5</li></ol><h1 id="vi.-terms-of-use-ywuas7vk2">VI. Terms of Use</h1><ul><li>The model was developed by Nieta Lab : <a target="_blank" rel="ugc" href="http://Neta.art">Neta.art</a> Lab - <a target="_blank" rel="ugc" href="https://civarchive.com/user/neta_art">https://civarchive.com/user/neta_art</a></li><li>Collaborative participants:<ul><li>Euge: <a target="_blank" rel="ugc" href="https://civarchive.com/user/Euge_">https://civarchive.com/user/Euge_</a></li><li>汤人烂: <a target="_blank" rel="ugc" href="https://space.bilibili.com/8594480">https://space.bilibili.com/8594480</a></li><li>Chenkin: <a target="_blank" rel="ugc" href="https://civarchive.com/user/Chenkin">https://civarchive.com/user/Chenkin</a></li><li>Bo Dai: <a target="_blank" rel="ugc" href="https://daibo.info/">https://daibo.info/</a></li></ul></li><li>Terms of Use:<ul><li>The model was developed from ArtiWaifu and AAM XL using <a target="_blank" rel="ugc" href="https://freedevproject.org/faipl-1.0-sd/">Fair AI Public License 1.0-SD</a></li><li>If you later modify, merge, or develop the model again, you need to open source the subsequent derived model .</li></ul></li></ul><h1 id="vii.-summary-and-outlook-fwa029p8k">VII. Summary and Outlook</h1>Neta Art DiT follow-up training. Stay tuned and test our product for free: <a target="_blank" rel="ugc" href="https://neta.art">https://neta.art</a> .Bilibili: <a target="_blank" rel="ugc" href="https://space.bilibili.com/505727005">https://space.bilibili.com/505727005</a>RED: <a target="_blank" rel="ugc" href="https://www.xiaohongshu.com/user/profile/63f2ebf2000000001001e206">https://www.xiaohongshu.com/user/profile/63f2ebf2000000001001e206</a>Twitter: <a target="_blank" rel="ugc" href="https://twitter.com/netaart_ai">https://twitter.com/netaart_ai</a>Civitai：<a target="_blank" rel="ugc" href="https://civarchive.com/user/neta_art">https://civarchive.com/user/neta_art</a>

Neta Art XL

Full report: <a target="_blank" rel="ugc" href="https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh">https://nieta-art.feishu.cn/wiki/PpwqwVDzjiNE5kkUhRtcEsn6nmh</a>First release address:Civitai - <a target="_blank" rel="ugc" href="https://civitai.com/models/410737">https://civitai.com/models/410737</a>Liblib - <a target="_blank" rel="ugc" href="https://www.liblib.art/modelinfo/55b06e35dd724862b3524ff00b069fe8">https://www.liblib.art/modelinfo/55b06e35dd724862b3524ff00b069fe8</a>I. Overview<ul><li>We have updated Neta Art XL V2.0. Comparing to version 1.0, we have optimized the character's posture dynamics, further strengthened hand stability, and are very good at telling stories with atmospheric epic scenes.</li><li>Main motivation:<ul><li>In V1.0, the default poses generated by our characters are relatively fixed, while the new version enhances the sense of dynamics, diverse character camera expressions, and more precise prompt control.</li><li>On the basis of increasing more stylistic diversity, more stable anatomy has been maintained, especially the probability of having five fingers (instead of four or six) on the hands is now higher!</li><li>Further training methods for issues such as Rectified Flow and Noise Offset have been better deployed. The current picture has a strong sense of epic, and can now show very bright and dark scenery (as shown in the figure below).</li></ul></li></ul>{ "prompt": "1girl, full moon, moonlight shadow, cinematic lighting, battle field, fighting armies, castle, warriors around, waving, looking at viewer, Heterochromatic pupil, sitting on a cliff, very dark, epic scene, inferno, cowboy shot, depressed, angel wings, solo, white long hair, wings bangs, beautiful color, amazing quality,", "negative_prompt": "nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, rating: sensitive, low contrast, signature, flexible deformity, abstract, low contrast, ", "resolution": "1344 x 768", "guidance_scale": 8, "num_inference_steps": 28, "sampler": "Euler a", "use_lora": null, "use_upscaler": { "upscale_method": "bislerp", "upscaler_strength": 0.65, "upscale_by": 1.5, "upscale_cfg": 11, "new_resolution": "2016 x 1152" }}Tip guideIn Neta V2, we re-trained based on ArtiWaifu Diffusion V1.0 (AWA1). Therefore, we used the prompt order summarized in ArtiWaifu:Tag order: art style ( by xxx ) - &gt; character ( 1 frieren (sousou no frieren) ) - &gt; race (elf) - &gt; composition (cowboy shot) - &gt; painting style ( impasto ) - &gt; theme (fantasy theme) - &gt; main environment (in the forest, at day) - &gt; background (gradient background) - &gt; action (sitting on ground) - &gt; expression (expressionless) - &gt; main characteristics (white hair) - &gt; other characteristics (Twintails, green eyes, parted lips) - &gt; clothing (wearing a white dress) - &gt; clothing accessories (frills) - &gt; other items (holding a magic wand) - &gt; secondary environment (grass, sunshine) - &gt; aesthetics ( beautiful color , detailed ) - &gt; quality ( best quality) - &gt; secondary description (birds, clouds, butterflies)[{ "prompt": "(oil-pasto:0.6), half-pasto, anime coloring, 1girl, raiden shogun\(genshin_impact\), genshin_impact, solo, smile, sitting beside window, indoor, classroom, hand rest, japanese school uniform,"},{ "prompt": "(line sketch, (black and white, monochrome:1.2), draft, 1girl, solo, march 7th\(honkai: star rail\),honkai: star rail, cowboy shot, medium shot, smile, standing, hand rest,"},{ "prompt": "gufeng style, 2.5d, impasto, old withered vines and ancient trees, a murder of crows descending into darkness, a small bridge over gently flowing water, quaint houses nestled by the river, best quality, masterpiece, highres,"},{ "prompt": "(2.5d:1.4),(pseudo-impasto:1.2),best quality, masterpiece, ultra-detailed, illustration, detailed light,an extremely delicate and beautiful, incredibly_absurdres, &lt;lora:sdxl_zzz_all_v2:1&gt;,1girl, nicole_demara, solo,crop_top, hair_ribbon, two_side_up, black_ribbon, tube_top, midriff, hairclip, bare_shoulders, black_shorts, cleavage, long_sleeves, cowboy shot, standing, medim shot,"},{ "prompt": "pixel art, 1girl, solo, kar98k\(girls' frontline\),girls' frontline, cowboy shot, standing, medim shot,"}]Negative prompt: ( worst quality : 1.3), low quality , lowres , messy , abstract, ugly, disfigured, bad anatomy, draft, deformed hands, fused fingers, signature, text, multi viewsSampler parameters: Eular a is recommended as default for 28 + inferences.Neta Art XL 2.0 still supports a very wide range of CFGs (3-20). But this time we have re-aligned the standard CFG of the model to the normal range of 7-9 for everyone to switch experiments.II. New style recommendationsWe have updated some style activation words and optimized the training. To avoid too much confusion with the original meaning of these words, it is now recommended to add a style suffix when activating.Classic anime(Activation word: anime coloring)Optimize thick impasto(Activating word: oil-pasto style)Semi-thick impasto(Activation word: half-impasto style)Heavy training 2.5d(Activation word: 2.5d style)Neta Art XL 2.0 updates a number of special artists, activated using the <code>by xxx </code>tag.by chi4by hitomio16by ikkyby cilorankoby yomuYou can refer to <a target="_blank" rel="ugc" href="https://civitai.com/models/435207/artiwaifu-diffusion">https://civitai.com/models/435207/artiwaifu-diffusion</a> to find more supported artistsIII. Better role dynamics1girl, jack-o' challenge1girl, upside-down1boy, harry potter, magic wand, amazing quality1girl, yoimiya\(genshin impact\), by as109, by antifreeze3, by sho \(sho lwlw\), by junnyNeta Art XL V2.0Neta Art XL V1.0Original questionIncoordination of limbsNot distinguishing hands and feetScenes are more templatedV1's stylization is not obvious and more like a fixed character illustration, while V2's characters are very vivid and livelyIV. Epic scenes1girl, amazing quality, ultra wide shot of Gal Gadot Wonder Woman, holding Mjölnir Hammer, fighting in THOR movie, action-packed, ultra-wide, battle scene, intense, high-quality digital camera, epic cinematic shot, high-resolution digital image, sharp focus, panchromatic film,super dark, extreme dark, fireflies, unicorn, forest, twilightTrump, at a public gathering, on stage, flags over head, giving a speech, people screaming, amazing qualityDepth of field in battle scenesAtmosphere of extremely dark scenesDramatic tensionV. Training strategiesModel Training is divided into three stages.<ol><li>Rough practice: Teach models basic knowledge and concepts of the second dimension. Learning Rate: Constants 1e-5 (unet), 7.5e-6 (text encoder) Equivalent batch size: 96 Optimizer: AdaFactor (False relative_step, scale_parameter and warmup_init) Noise-free offset Time step sampling: LogitNormal (ln3,1) Minimum signal to noise ratio: 5 Note: Since the basic model has most of the prior knowledge, this stage is skipped in actual training.</li></ol><ol><li>Concept Reinforcement: This stage teaches and reinforces all the concepts that the model needs to learn, including artists and characters with less data. The core strategy is data weighting - increasing the weight of data with less data, that is, the number of times it is repeatedly trained in a single epoch, and supplemented with other strategies to help concept learning, such as randomly removing core features of characters. The training parameters for the concept reinforcement stage are exactly the same as those for rough practice.</li><li>Refinement: This stage uses data with quality ratings of best and amazing to continue fine-tuning the model, freezes the text encoder, enables label randomization algorithm, adds noise offset of 0.0357, and uniformly samples time steps during training. Learning Rate: Constants 2e-6 (unet), 1e-6 (text encoder) Equivalent batch size: 48 Optimizer: AdaFactor (False relative_step, scale_parameter and warmup_init) Noise offset: 0.0357 Time step sampling: uniform distribution (same as normal training) Minimum signal to noise ratio: 5</li></ol>VI. Terms of Use<ul><li>The model was developed by Pinch Ta Lab : <a target="_blank" rel="ugc" href="http://Neta.art">Neta.art</a> Lab - <a target="_blank" rel="ugc" href="https://civitai.com/user/neta_art">https://civitai.com/user/neta_art</a></li><li>Collaborative participants:<ul><li>Euge: <a target="_blank" rel="ugc" href="https://civitai.com/user/Euge_">https://civitai.com/user/Euge_</a></li><li>汤人烂: <a target="_blank" rel="ugc" href="https://space.bilibili.com/8594480">https://space.bilibili.com/8594480</a></li><li>Chenkin: <a target="_blank" rel="ugc" href="https://civitai.com/user/Chenkin">https://civitai.com/user/Chenkin</a></li><li>Bo Dai: <a target="_blank" rel="ugc" href="https://daibo.info/">https://daibo.info/</a></li></ul></li><li>Terms of Use:<ul><li>The model was developed from ArtiWaifu and AAM XL using <a target="_blank" rel="ugc" href="https://freedevproject.org/faipl-1.0-sd/">Fair AI Public License 1.0-SD</a></li><li>If you later modify, merge, or develop the model again, you need to open source the subsequent derived model .</li></ul></li></ul>VI. Summary and OutlookNeta Art DiT follow-up training. Stay tuned and test our product for free: <a target="_blank" rel="ugc" href="http://nieta.art">http://nieta.art</a> .Bilibili: <a target="_blank" rel="ugc" href="https://space.bilibili.com/505727005">https://space.bilibili.com/505727005</a>RED: <a target="_blank" rel="ugc" href="https://www.xiaohongshu.com/user/profile/63f2ebf2000000001001e206">https://www.xiaohongshu.com/user/profile/63f2ebf2000000001001e206</a>Twitter: <a target="_blank" rel="ugc" href="https://twitter.com/netaart_ai">https://twitter.com/netaart_ai</a>Civitai：<a target="_blank" rel="ugc" href="https://civitai.com/user/neta_art">https://civitai.com/user/neta_art</a>

netaArtXL_v20.safetensors

v2.0

v1.0 DPO

v1.0

二次元XL

 XL 二次元角色.safetensors

Neta Art XL 2D Characters

完整的报告和更新，请关注： <a href="https://nieta-art.feishu.cn/wiki/ARWLw99w7ikjaSkoV99cxmsOn5g" target="_blank">https://nieta-art.feishu.cn/wiki/ARWLw99w7ikjaSkoV99cxmsOn5g</a> <img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=ZTliN2RlNWI3OWEyOTcwYTdhMzQ1MmJhNzkwNmNjYTBfQW5UdWFLR2ZYSFNZRmZWVVdlVHNDWXQzbnZLb2ZBQjVfVG9rZW46VUFmcmJCcm5Nb1Nab2Z4ZjJCSmNNWklsbk5iXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/><h1>一、概述</h1><ul><li>我们更新了Neta Art XL V2.0，在1.0版本的基础上，优化了角色的姿势动态、进一步强化手部稳定性，并且非常擅长用有氛围感的图片讲述故事。</li><li>主要动机：V1.0中，我们的角色默认生成的姿势比较固定，而新版本对于动态感、多样的角色镜头表达和更加精准的特征控制有所增强。在增加更多风格多样性的基础上，保持了更加稳定的肢体稳定性，尤其是手部现在出现五指（而不是四个指头或者六个）的概率更高了！。进一步强化的Rectified Flow和Noise Offset等问题的训练方法，现在的画面史诗感极强，可以出现很亮和很暗的景色了（如下图）。</li></ul><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=MmM1ZGEwNzJmYmEzMTVmMTQ4OGYzMWY3ZmFkMGQwMzNfR2N4TlcweFZRRGdHZUxvWHZLVmcyVFZPaE5nS3hWN2hfVG9rZW46VURINmJLS0Jib0tyRm14dXc5d2NYU1JYbnVmXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/><ul><li> </li><li></li><li></li><li></li><li>{</li><li> &nbsp;"prompt": "1girl, full moon, moonlight shadow, cinematic lighting, battle field, fighting armies, castle, warriors around, waving, looking at viewer, Heterochromatic pupil, sitting on a cliff, very dark, epic scene, inferno, cowboy shot, depressed, angel wings, solo, white long hair, wings bangs, beautiful color, amazing quality,",</li><li> &nbsp;"negative_prompt": "nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, artist name, rating: sensitive, low contrast, signature, flexible deformity, abstract, low contrast, ",</li><li> &nbsp;"resolution": "1344 x 768",</li><li> &nbsp;"guidance_scale": 8,</li><li> &nbsp;"num_inference_steps": 28,</li><li> &nbsp;"sampler": "Euler a",</li><li> &nbsp;"use_lora": null,</li><li> &nbsp;"use_upscaler": {</li><li> &nbsp; &nbsp;"upscale_method": "bislerp",</li><li> &nbsp; &nbsp;"upscaler_strength": 0.65,</li><li> &nbsp; &nbsp;"upscale_by": 1.5,</li><li> &nbsp; &nbsp;"upscale_cfg": 11,</li><li> &nbsp; &nbsp;"new_resolution": "2016 x 1152"</li><li> &nbsp;}</li><li>}</li></ul><h3>提示指南</h3>在Neta V2中，我们重新基于 ArtiWaifu Diffusion V1.0（AWA1）作为模型进行训练。因此采用ArtiWaifu中总结的提示顺序： 标签顺序: &nbsp;art style (by xxx) -&gt; character (1 frieren (sousou no frieren)) -&gt; race (elf) -&gt; composition (cowboy shot) -&gt; painting style (impasto) -&gt; theme (fantasy theme) -&gt; main environment (in the forest, at day) -&gt; background (gradient background) -&gt; action (sitting on ground) -&gt; expression (expressionless) -&gt; main characteristics (white hair) -&gt; other characteristics (twintails, green eyes, parted lip) -&gt; clothing (wearing a white dress) -&gt; clothing accessories (frills) -&gt; other items (holding a magic wand) -&gt; secondary environment (grass, sunshine) -&gt; aesthetics (beautiful color, detailed) -&gt; quality (best quality) -&gt; secondary description (birds, cloud, butterfly) <img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=YzBlMmU2MWU4ZjA1ZDgyZjQ0MzlkZjIzMDRkM2I5YjhfM0U1RkxUaGp2bW9MWnFmNDNmQ0ZrRHdsRERlbWlRcjVfVG9rZW46VHpaQmJFVUxjb3BWN3R4R3VCTmNlUVJWbldiXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=ODViZTQ0YzI4ZjVjYmJlZTRjNmE2N2JjYmU1ZGY3ODdfaFhVakxuN09QSEQ3aE9Oa1JnMVpWc0VTVW54dWFOM3ZfVG9rZW46SUFkWGJ4UGV2b0h2Zm54UE5IUmMyTUpablJnXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=ZGQwOTE4NGExOTMzZWJlZDg4YzlhN2MzNzJkMTM2OTRfcUIyV29ub200cm9NcjRKamtCZzRVbVF4c0NFNDkxZllfVG9rZW46QTZVUWIyZG1Sb**rT1N4ejZNY2NkU3JJbk9nXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=OGY0ZGZmM2U4NjRiMWZkZTgwNmQ2NWJlODcyMmQ3NzVfdkhLVXkzMlhRa1RCU0Zsak0zd011aHJDR1JBdHVZUUtfVG9rZW46VnRmVGJPVmdYb0N4ZWR4Yml5U2NmbnRZblVmXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/><img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=ZjNhMTQ4YTYxZWQ3YmMyOWU4NWJkZTA1NDljYTlkNGVfOGEyV1BqODNEUVFJWFNSRDd3RGRqdVhrc3JOWERCc0pfVG9rZW46S1BiWmJNN05Nb3BXQm14NTF1SGNvaVd2bm9iXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/> [{ &nbsp;"prompt": "(oil-pasto:0.6), half-pasto, anime coloring, 1girl, raiden shogun\(genshin_impact\), genshin_impact, solo, smile, sitting beside window, indoor, classroom, hand rest, japanese school uniform,"},{ &nbsp;"prompt": "(line sketch, (black and white, monochrome:1.2), draft, 1girl, solo, march 7th\(honkai: star rail\),honkai: star rail, cowboy shot, medium shot, smile, standing, hand rest,"},{ &nbsp;"prompt": "gufeng style, 2.5d, impasto, old withered vines and ancient trees, a murder of crows descending into darkness, a small bridge over gently flowing water, quaint houses nestled by the river, best quality, masterpiece, highres,"},{ &nbsp;"prompt": "(2.5d:1.4),(pseudo-impasto:1.2),best quality, masterpiece, ultra-detailed, illustration, detailed light,an extremely delicate and beautiful, incredibly_absurdres, &lt;lora:sdxl_zzz_all_v2:1&gt;,1girl, nicole_demara, solo,crop_top, hair_ribbon, two_side_up, black_ribbon, tube_top, midriff, hairclip, bare_shoulders, black_shorts, cleavage, long_sleeves, cowboy shot, standing, medim shot,"},{ &nbsp;"prompt": "pixel art, 1girl, solo, kar98k\(girls' frontline\),girls' frontline, cowboy shot, standing, medim shot,"}]负向提示词: (worst quality:1.3), low quality, lowres, messy, abstract, ugly, disfigured, bad anatomy, draft, deformed hands, fused fingers, signature, text, multi views采样器参数: Eular a 作为默认推荐, 28+ 步及以上的推理。 Neta Art XL 2.0 仍然支持非常广泛的cfg范围（支持3 - 20）。但是我们这次将模型的标准CFG重新对齐到了7-9的常规范围内方便大家替换实验。 <h1>六、总结和展望</h1> Neta Art DiT后续训练中。 请继续关注我们，并免费测试我们的产品：http://nieta.artB站：https://space.bilibili.com/505727005小红书：https://www.xiaohongshu.com/user/profile/63f2ebf2000000001001e206推特：https://twitter.com/netaart_aiCivitai：https://civitai.com/user/neta_art <img src="https://nieta-art.feishu.cn/space/api/box/stream/download/asynccode/?code=MjhkMjI5MjhkYTRmMGE3MGQ1NjA2Mzg2MzE4MDBlZTNfVXdidTloWllvSVJva2QxZXhtUXMzNmRlQzlwNGZoWnVfVG9rZW46VEFTT2IxY3hqb3VKMlN4TTdobGN4U0VObmJmXzE3MjE2Njk2Mjk6MTcyMTY3MzIyOV9WNA" alt="" data-href="" style=""/>

m41a.fp16.safetensors

V2.0

V1.0

V1.0 DPO

Files with SHA256: 1e9907541f1b7f7455bba5859a3da5e64897a5a86293b273b609b4c6760ea9af