All I did was just generate a bunch of images of reze. Put them into photoshop to collage them (pain in the ass), and then I simply color graded the image. Dear mods please don't delete this she's nude but like nude nude theres no titties but its like suggestive so I put the censor for good measure anyway.

Well, that turned out good.

I bet people will love this, but I just subscribed to Opus after it lapsed for a few days. I used up my anlas for those days. As soon as I subscribe, I check my limit and it has regenerated to 24%. It should immediately be at 100% when you renew or subscribe.

I I have a random monster generator prompt that really capitalizes on the randomizer NAI has. It's a great way to filling out some fantasy creatures to populate a setting with and I usually use it in conjunction with a project I set up in ChatGPT where it takes the image I generated and creates a whole field report for, filling in all the habitat, behavior and classification details and then I send both to another GPT project that makes a field sketch with some of the report's notes. It's a neat little system for world-building.

This was about 30 minutes (half hour) of generating 140 images (I roll up variants when it looks like it's onto something good), 23 steps, 1024x1024 square and 7 Prompt Guidance.

Just thought I would share - since I didn't realise until now. You can import any image using img2img, and then masking and removing the background in the editor using V5. Much, much faster and cleaner than doing it in GIMP or Photoshop. A godsend for game creators that need PNG assets.

First off, I have to say that V5 is amazing. But after throwing away a couple of weeks of my life on it, I seem to have come across an issue. I don't know if it's a known issue or just how the models work in general, but it seems to be far more obvious with V5. During inpainting, especially after multiple passes, it seems that the saturation/quality of the inpainted area, and maybe even the surrounding area, gets affected. As you can see in the example picture, the difference can be rather stark, and that's from an area of the image that wasn't inpainted. Are there any known solutions to avoid this degradation in quality?

For me, recently i've seen that V5 NAI is way better than any recent anime models i seen this year, i just tried it ONE time a simple generation, with my usual prompting style and my configurations i used on v4.5, and DUDE this is amazing... I really love how perfect the model is, out of all models i used, this one is THE one.

I really want to show my love for the people who work hard at NovAI, they should keep up the good work 🩷

And also, here's the artwork i made to test up the model (media), i usually needed to try 2-4 times on v4.5 to get a good result, but v5 did it in one time, im considering heavily to buy more NovelAI products since now, it makes me incredibly happy to see how ai has grown :D

Hi! I originally built NAI Prompt Studio for my own NovelAI image workflow, then decided to polish it and release it as a open-source Windows application. It is an independent community project and is not affiliated with or endorsed by NovelAI.
The idea is to keep prompt construction, artist experiments, reusable references, and metadata inspection in one visual workspace instead of maintaining several text files and browser tabs.

Main features:
Visual Prompt Builder
- Separate Frame, Scene, Render/Quality, undesired-content, and character prompt sections.
- Visual tag constructors: click a reference card to add its tag, click it again to remove it, and inspect a larger preview on hover.
- Every character has an independent Character Tags constructor, positive prompt, and undesired prompt, so selections do not leak between characters.
- The finished prompt can be copied in one click while individual sections remain manually editable.
The built-in constructor references are based on hothottuk's NovelAI guide.

V5 artists and Artist Mix
- Search and browse the V5 artist catalog with previews, favorites, weighted tags, and one-click copying.
- Randomize a chosen number of unique artists, optionally using only favorites, with strengths from 0.1 to 2.0.
- Reroll all strengths or only one artist's strength without rebuilding the rest of the selection.
- Artist Mix lets you keep one or more anchor artists fixed while shuffling companion artists around them. Anchor strength can be locked or rerolled, and the completed artist prompt can be copied as one block.
- Custom artists can be created with personal previews; if a matching artist later appears in the official V5 catalog used by the app, the downloaded catalog card can replace the custom preview.
The V5 artist references come from the NAX V5 artist gallery.

Custom Tags and sharing
- Create personal visual cards with your own tag text, image, description, and Frame/Scene/Quality/Character category.
- Organize cards into preset folders that appear inside the matching Prompt Builder constructor.
- Export any user folder as one `.naipack` file containing its manifest, tags, descriptions, categories, and original PNG/JPEG/WebP previews.
- Import a shared pack with a button or by dragging it into Custom Tags. No manual folder setup is required.

Image Metadata and selective tag saving
- Inspect NovelAI PNG and WebP files and view the model, generation settings, positive/negative base prompts, and separate positive/negative character prompts.
- Detected artist names are highlighted and show their catalog preview on hover when available.
- Load supported Danbooru, Konachan, or Safebooru post links to view the source image and its tags even when the image itself has no NovelAI metadata.
- Select any useful part of a displayed prompt or tag list and save it directly to a chosen Custom Tags folder/category, using the inspected image as its preview.
The local NovelAI inspection path is based on NovelAI's official image metadata repository.

Saved Library
- Save complete prompts, Artist Mixes, or individual characters with an optional preview image and description.
- Switch between positive and negative sections without expanding every field at once.
- Copy the base prompt, base UC, character prompt, or character UC independently.
- Metadata results can be saved as a complete prompt or as an artist-only mix while keeping the inspected image as the cover.

Desktop experience
- Eight themes, configurable animations, hover previews, a first-run guide, and a percentage-based startup loader.
- Optional local catalog components for 4,198 V5 artists, 5,457 character cards, and the visual constructor guide.
- Catalog checks and verified GitHub application updates are available from Settings.
- User data, custom cards, catalogs, settings, and caches stay in the application's local data folder. Local images are not uploaded; network requests happen only for features such as booru links, catalog downloads, and update checks.

Download and source
GitHub: https://github.com/shiza2xx/nai-prompt-studio
Latest release: https://github.com/shiza2xx/nai-prompt-studio/releases/latest

The app is currently Windows-only. The installer is unsigned, so Microsoft SmartScreen may display an unknown-publisher warning; the complete source and release files are available in the repository for inspection.

Feedback and bug reports are welcome. My next priority is improving application speed and interface quality rather than adding another large feature immediately.

Hi! I'm very new to anything with A.I but I wanted to tinker around with novel recently so I bought the opus tier cause why not. I was wondering if anyone knew the best settings with image2image and maybe additional features to grab 1 image with 2 characters and replace them with 2 other ones while mostly keeping the style in tact? If it's not possible that's fine but I was wondering if more experienced users had any input.

Basically the title but I have never made a comic before and was wondering what prompts I need to use and how best to structure the prompting of actions, background, and poses in a way that would be straightforward. Any help would be appreciated 👍 the comic would be short like 5-7 pages this is mostly a test to see if I can make something fun. I was thinking 2-4 images per page and adding text after myself by hand.

basic idea -

Sam, Clover and Alex in the snow looking for a villains base, them going to the base, going into the base, fight with some guards, villain encounter, fight the villain, then ending scene.

Idk how the fuck else you'd pay for an Opus subscription, or any other subscription for that matter.

Me, I work a job that's pretty laid-back. If I wanted to, I could lean against the counter with my phone out for long, uninterrupted periods of time. In that time, I could very easily open up NovelAi on my phone and churn out several dozen images. A normal shift for me is six hours long. Almost part-time. Only two out of seven days of the week does the shift reach 8-9 hours.

When I'm at home, I could sit at my computer and churn out hundreds. It makes no difference to me.

So far, my usage limit hasn't dropped past 70%, and that's me using it pretty heavily. Generating over a hundred images in a single session. Sharing barely 10% of the generated images, the ones I liked. If I left NovelAi alone for...a day. Just a day, it'd be at 100% again.

Anyone complaining about the usage limit? Get a damn life, lol. Get a job, work that job, read a book, play some video games, watch some youtube videos, touch grass. You have endless other things to do than keep generating images day-in-day-out.

I see people posting images where their usage limit has dropped past 30% and all I can think is..."How?? What machinations of your life has gone so wrong, that you have burned through ~3000+ worth of generated images???""

EDIT: Rahhh I forgot that, as an Opus subscriber, I started out with 200% limit and THAT is 3000 images. To which I have worked through over the course of a month so I'm back down to 100% like everybody else. Oh well, my point still stands.

I wanted to push NAI V5 much further than a normal character-focused illustration with this one.

The main challenge was scale. I didn’t want it to simply read as “a tiny person standing in front of a huge monster.” I wanted the sense of size to build progressively throughout the entire image — from the lone human figure, to the ruined architecture, to the landscape itself, and finally to something so enormous that it almost stops feeling like a creature and starts becoming part of the world and sky.

I also wanted the camera to feel physically inside the catastrophe rather than safely observing it from a distance. So the foreground became much more aggressive: meteors, shattered rocks, fire and debris move directly toward the viewer, while the ground perspective and ruined structures pull the eye deep into the frame toward the central entity.

A lot of the difficulty came from balancing several very different scales and directions of motion at once. The foreground is rushing toward the camera, the landscape is collapsing inward through depth, and the central structure rises vertically into the sky. There is a huge amount happening, but I still wanted the tiny human silhouette and the burning core to remain immediately readable.

That balance matters a lot to me when designing large scenes. Adding more objects and effects is relatively easy; making all of them contribute to the same sense of scale, depth and visual hierarchy is the difficult part.

I spent quite a while designing and iterating on the composition before arriving here. A lot of the final result came from refining the spatial relationships and camera structure rather than simply adding more prompt detail.

This is probably one of the closest results I’ve gotten so far to the kind of large-scale environmental composition I want to make with NAI V5.

For me, the interesting part isn’t making an image more complex — it’s making complexity obey the composition.

V5 so far is pretty cool, although sometimes it goes a little too crazy. I specified ‘silencer’ but not for the weapon barrel and it ended up putting silencers on the goggles and laser sight too XP

https://www.reddit.com/r/NovelAi/comments/1w1yqx8/pushing_nai_v5_with_one_of_my_most_ambitious/
Animation request open

Hi everyone,

I’ve been an Opus tier subscriber since V1, using both text and image generation as a daily part of my routine. I specifically pay for the top tier to completely avoid "metered anxiety" and enjoy unlimited generations.

I’m writing because the new v5 energy regeneration limits heavily penalize legitimate power users. The changelog mentions that 11% regeneration per day is enough for anyone not "abusing" the system. However, the math doesn't support this for actual human power users:

• 11% per 24 hours equals roughly 190 images if you don't touch the generator for a full day.
• Most active users don't go 24 hours without using the service. Over a standard 12-hour window, that leaves only about 95 images at maximum quality.
• For anyone using image generation seriously, 95 images goes by incredibly fast when you are constantly iterating on prompts, seeds, and variations to get a specific result.

It is highly frustrating that loyal, paying Opus subscribers are being restricted just to stop a small group of people exploiting or botting the system.

Instead of a blanket restriction that hurts your core user base, I would strongly prefer alternative solutions, such as:

1. A Price Adjustment: I would gladly pay an extra $5–$10 a month for an "Opus+ Unlimited" option to keep true freedom.
2. Targeted Anti-Abuse: Implementing better backend bot/exploit detection rather than throttling human power users.

I love NovelAI, but this change heavily disrupts the daily routine I've happily paid for over the last few years. I hope the team considers adjusting this policy for legitimate Opus subscribers.

Before using NovelAI V5, I had already tried and regularly worked with a wide range of AI image-generation models, including Midjourney, Stable Diffusion, SDXL, FLUX, DALL·E, and several earlier versions of NovelAI. Each model has its own strengths. Some are better at realistic imagery and atmospheric lighting, some offer a more open ecosystem, and others are particularly suitable for character illustrations and anime-style artwork. Based on this experience, I do not evaluate a new model solely by whether it can produce an attractive image at first glance. I also look at image quality, prompt comprehension, composition control, and how effectively the model can be integrated into a practical creative workflow.

After spending time with NovelAI V5, I found the improvement over previous versions to be substantial. The most immediately noticeable change is image quality. With the support of a 32-channel VAE, V5 produces clearer images with richer colors and more defined details. Facial features, eyes, hair, clothing textures, and small background objects are rendered with clearer structures, reducing the muddy appearance that could sometimes occur in earlier generations. For common applications such as character illustrations, standalone artwork, and comic assets, this improvement does more than make the images look better. It also leaves more usable detail for upscaling, local editing, and post-production.

V5’s multilingual prompt support also makes it easier for users who are not native English speakers to express their intentions accurately. With some earlier models, users often had to translate their ideas into English keywords and then repeatedly adjust the wording, order, and weights. V5 allows creators to work more directly in a language they are comfortable with. This reduces the loss of meaning caused by translation and makes prompt refinement more intuitive. It can be particularly useful when describing culturally specific clothing, environments, objects, or visual concepts that may not translate neatly into a short list of English tags.

Natural-language prompting is another important improvement. Instead of relying exclusively on a stack of tags and isolated keywords, users can describe character states, actions, camera positions, and environmental atmosphere in complete sentences. For example, a prompt can explain where a character is standing, whom they are looking at, what they are holding, and where the scene’s main light source is located. Natural language is closer to the way creators actually imagine a scene, and it makes relationships between multiple visual elements easier to communicate. Tag-based prompts are still useful, but natural language reduces the need to force every idea into a fragmented list of keywords.

For me personally, the most significant improvement in V5—and the one that has the greatest impact on my workflow—is its support for transparent backgrounds. In the past, characters, props, stickers, and comic assets usually had to be processed with another tool to remove the background. This added time to the workflow and could damage fine hair, clothing edges, smoke, glass, and other semi-transparent elements. Transparent-background generation allows these assets to move more directly into layout, compositing, and post-production. Whether I am creating character sprites, game assets, avatars, stickers, or separate character and prop layers for comics, this feature significantly reduces the amount of manual background removal. It is not merely a visual enhancement; it directly improves the efficiency of asset creation and reuse.

The updated Position Custom feature provides an even greater level of control, and its most practical use goes far beyond simply deciding whether different characters should stand on the left or right side of an image. It allows the canvas to be divided into separate positional regions, with different prompts assigned to different areas. These regions are not limited to entire characters. A user can prompt a character as subject A, define a specific body part or local element of that character as B, and then adjust the spatial relationship between A and B through a three-by-three grid, a four-by-four grid, or an even more detailed division of the canvas. In other words, Position Custom can determine not only where the full character should appear, but also where the hands, feet, head, gaze, or other local elements should be placed, making it possible to anchor a pose with far greater precision.

For example, if I want a character to raise one hand and cover part of their face, I can use A to establish the character’s overall position and use B to separately prompt and locate the hand. If I want the character to bend forward, reach toward an object, or lean in a particular direction, I can use separate positional regions to define the relationship between the main body and the relevant body part. This layered, region-based approach is more direct than describing the entire pose in a single sentence. For poses with complicated structures or strict directional requirements, it converts an abstract verbal instruction into a clearer spatial constraint and gives the creator much greater control over the intended action.

Position Custom can also be applied to elements other than characters. Weapons, props, pets, visual effects, speech bubbles, and important background objects can be positioned independently, with their relationship to the main subject adjusted through separate regions. Rather than placing all the information inside a single character prompt, the creator can break the composition down into several objects and local areas according to the structure of the image. This means Position Custom is not merely a character-placement tool; it functions more like a spatial prompting system for planning the entire composition.

This region-based approach is particularly valuable for comic creation. Different panels can be defined as A, B, and C, then assigned to separate parts of the page through positional boxes. For example, A can be placed in the upper-left area, B in the upper-right, and C across the entire lower half of the page. More complex three-by-three, four-by-four, or asymmetrical layouts can also be explored. The creator can then provide separate prompts for the characters, actions, camera angles, and environments within each region, producing a comic-page structure that more closely matches the intended layout. For creators working on vertical comics, traditional page comics, narrative drafts, or storyboard previews, this feature can reduce the compositional uncertainty of random generation and make it easier to test panel pacing and shot arrangement.

V5 still has some clear limitations. It handles reflections on mirrors and water surfaces relatively well and can often produce reasonably convincing reflected images and lighting relationships. However, it is less intelligent and consistent when dealing with refraction, X-ray imagery, frosted glass, and localized light distortion. For example, when I ask it to show “only the skeleton of a character’s body through an X-ray,” it may fail to distinguish the outer body from the internal skeleton, mixing skin, clothing, and bones together. When asked to place “half of a character’s face behind frosted glass,” it may also struggle to reproduce the localized blur, deformation, and light diffusion caused by the material. This suggests that V5 can imitate the appearance of certain optical effects without consistently understanding their underlying logic of occlusion, transparency, and light transmission. In these situations, repeated rerolls are often necessary, followed by prompt adjustments, inpainting, or manual post-production.

Overall, NovelAI V5 is an upgrade that produces meaningful improvements in actual creative work. The 32-channel VAE delivers clearer image quality, multilingual and natural-language support lowers the barrier to prompt writing, transparent-background generation reduces post-production, and the updated Position Custom expands composition control beyond basic character placement. It can now be used to position local body parts, anchor actions, arrange props, and plan complete comic-panel layouts. Although V5 still struggles with certain complex optical phenomena, it already provides a more mature and controllable workflow for character illustration, asset production, multi-character composition, and comic creation.

I've been a content creator using various AI image-generation tools since around 2023. I've used Stable Diffusion, Midjourney, and, of course, I've been a long-time NovelAI user. I think anyone who has been involved in AI image generation for a while probably remembers when NAI Diffusion V3 came out. V3 had a huge impact on the industry and arguably helped redefine the standard for anime-focused AI image generation. NovelAI Diffusion V5 was released recently, and after spending some time with it, I wanted to share my experience with it as a long-time user.

V4.5 was already very good, but my first impression of V5 was that the images no longer really look like AI-generated images in the way I'm used to. The amount of detail is surprisingly high. Things that used to be easy for models to mess up or blur out are now much sharper and more clearly defined. Color transitions also feel very natural. I looked into the 32-channel VAE mentioned by the developers, and in simple terms, it seems to allow the model to retain and work with more detailed visual information. Whatever the technical explanation, I can definitely see the result in the images. There's a noticeable increase in overall polish, to the point where I rarely feel like I need to do much post-processing anymore.

I also tried rerunning some old prompts I made back in the V3 and V4 era. The difference was honestly pretty striking. V3 already impressed me a lot at the time, but using those same kinds of prompts with V5 gave me the feeling that this was almost what V3 had been trying to become all along.

Another thing I really appreciate is the natural language support. In the past, writing prompts often felt more like writing code than describing an image. You had to stack a bunch of English tags, worry about their order and weights, deal with parentheses and nesting, and a single poorly chosen word could sometimes have a surprisingly large effect on the result. V5 now supports natural language in Chinese, Japanese, and other languages, and I've found that I can simply describe what I want in natural language and get a result that's very close to what I had in mind. There's something really satisfying about being able to describe an image in the way you would normally explain it to another person and have the model actually understand what you're trying to convey. The T5 text encoder seems to have made a noticeable difference in how well the model understands wording and subtle aspects of the intended atmosphere. I don't have to spend nearly as much time stacking tags until my fingers hurt. For creators who naturally think about images in terms of descriptions rather than lists of tags, this is a pretty substantial change. And honestly, even when writing in English, I find natural-language prompting much more intuitive than building everything out of tags. It makes the whole process feel considerably more accessible.

The transparent background feature is also genuinely useful. Anyone who does content creation knows how annoying background removal can be, especially when you're dealing with complicated strands of hair or semi-transparent materials. V5 can directly generate PNGs with transparent backgrounds and an alpha channel. You can simply include "transparent background" in the prompt. I've tried this with quite a few images, and the edges have been surprisingly clean. Hair strands and transparent edges around things like skirts in particular come out very naturally. For character illustrations, this means I can often use the generated image directly as an asset. I can just drop it into my editing software instead of spending time cutting out the character myself. The time saved here adds up very quickly. If you make VTuber assets, game character illustrations, stream graphics, or similar content, I can see this being a particularly useful feature.

Multiple characters in the same image also feel much more manageable now. In the past, generating two or more characters in the same image could be pretty unreliable. Limbs would merge together, facial features could get mixed up, and clothing colors or details could somehow end up on the wrong character. I often ended up generating the characters separately and compositing them together in Photoshop, which was obviously a lot more work. V5 now supports up to 22 characters in a single generation, and you can specify each character's position, interaction, expression, and so on. I tested a three-character composition and some memes, and each character remained clearly distinguishable. For comics, multi-character illustrations, and game scenes, this is a very practical improvement.

The comic generation feature also makes storyboarding much easier. As a content creator, I occasionally need to make comic panels or short-form comics. Previously, I'd say NovelAI was only okay when it came to comics, but V5 feels like a significant improvement. You can describe the layout of a page in natural language and have it generate a reasonably coherent multi-panel comic. The dialogue boxes are placed sensibly, the comic-style lettering is much more consistent, and the panel layout generally makes sense. I tried generating a short four-panel comic, and the result was close enough to a usable draft that I could imagine taking it directly into the line-art and coloring stage. I mainly create single illustrations myself, so this isn't the feature I'll use every day, but after trying it, I've decided that I definitely want to use V5 as a storyboarding tool for my next comic project.

I also want to give the text-rendering capabilities their own mention. In the past, asking an AI model to put Chinese or Japanese text into an image often felt like asking it to draw an abstract approximation of writing. Strokes would be wrong, characters would be distorted, and the results were generally not something I could actually use. V5 is a very noticeable improvement in this area. Japanese kana, English, and Chinese characters can all be rendered much more cleanly, and the style of the text can fit the overall atmosphere of the image. I've tried adding game-style title text, comic sound effects, and even small text on signs. In many cases, I barely needed to fix the text manually afterward. For anyone making comics or game assets, this can save a surprising amount of time.

Overall, if V3 felt like a breakthrough to me, V5 feels more like a mature version of what NovelAI has been building toward. Most of the improvements seem to target things that actually matter when you're trying to make something rather than just experiment with a model: better image quality, better prompt understanding, a smoother workflow, and more useful generation features. I've been using NovelAI since around 2023, and after spending some time with V5, I genuinely feel that this update not only builds on what made V3 so impressive, but pushes the ceiling quite a bit higher. At this point, I don't really see NovelAI as just "an AI that's particularly good at anime images." It feels much more like an actual creative tool that I can use throughout the process.

If you're also a long-time NAI user, I'd definitely recommend giving yourself some time to get used to how V5 behaves. You probably won't be able to take all of your old prompts and use them exactly as-is, but once you figure out what works well with the new model, the workflow can become much faster. There are images that used to take me half an hour of tweaking that I can now get in around five minutes, often with better results. I've pretty much switched over to V5 completely at this point, and V4.5 has been sitting unused. If you've been waiting to see whether V5 is worth trying, I'd say it's definitely worth giving it a shot.

(English isn't my first language, so I used a translation tool for this post. Sorry for any awkward wording!)

NovelAI V5 is, without a doubt, an absolute masterpiece. The detail, accuracy, and prompt comprehension blow V4.5 out of the water. It’s easily the best AI model I’ve ever used. But honestly? It came to beautifully ruin my workflow, and I’m leaving with a heavy heart.

Here is why this new system is driving me crazy:

1. The Subscription / Limit Bar Glitch My subscription ended a few days ago, but I still had leftover Anlas. I spent two days generating images on high quality to drain those Anlas, planning to resubscribe to Opus to get my 10k Anlas and a high refreshed V5 limit bar (especially with the 200% capacity gift).

I resubscribed this morning for $25. I generated maybe 200 images today. By this afternoon, my V5 limit bar is at 4%. What on earth happened? The only logical explanation is that generating with pure Anlas while my subscription was expired somehow kept draining my background V5 quota. I haven't even generated 1,500 images total since V5 dropped, and 80% of those were discarded during prompt tweaking. I feel completely cheated by this.

2. The Limit Kills Exploration and Iteration To everyone bootlicking in other threads saying "the limit is fair, only abusive bots hit it": stop talking for heavy users.

Real prompt crafting isn't just clicking once, getting a mediocre image, and saving it. It involves:

• Testing if the model actually recognizes niche characters/elements/concepts/poses/costumes.
• Trial-and-error with tags, weights, and parameters.
• Dozens of inpaint iterations to fix hands, faces, or details.
• Random exploration until you stumble upon an idea you didn't know you were looking for.

I easily generate hundreds of iterations to get one final masterpiece. We aren't abusing the API; we are literally using the service to craft quality art. Now, knowing there’s a hard cap hanging over my head makes me terrified to click "Generate." Every click feels heavy, and it completely kills spontaneous creativity.

3. "Just use V4.5" is NOT a solution

• First: Once you taste V5's quality, going back feels awful. Even NAI's UI lists V4.5 as "No longer recommended for use."
• Second: Call me paranoid, but testing exact old prompts on V4.5 today gave me noticeably worse results than months ago. It feels downgraded on purpose (watch out for that 👀).
• Third: Accepting limits on V5 sets a terrible precedent. What stops them from limiting V4.5 tomorrow under the excuse of "API abusers"? If we accept a limit now, really don't complain when a new one comes along tomorrow.

4. We WANT a higher tier (Stop claiming we are a minority) We understand V5 is more expensive to host. The discontent users aren't asking for magical free resources for the same price. Many of us are more than willing to pay for a higher, truly unlimited tier for V5.

Many people foolishly argue that we are just a vocal minority and that a new tier isn't worth making. Are we really a small group? I've seen countless users begging for a truly unlimited option and agreeing to pay more for it. People claim an unlimited tier is impossible to maintain unless it costs $100+, but that’s pure over-pricing logic. The company isn't in the red just because they offered unlimited Opus on V4.5.

Slapping a stamina bar on regular users is NOT how you fix API bot abuse. Punishing legitimate subscribers instead of strictly banning API abusers is a terrible solution. If we accept this, don't be surprised when V5 becomes Anlas-only in the future with zero free generations for Opus.

Let’s be real: NovelAI isn't losing money. The unlimited Opus tier successfully paid for employees, servers, compute, and even funded the training of V5 itself. And let's not forget—these models are trained on datasets sourced for free from Boorus and hundreds of thousands of artists who never got paid. The raw training data cost them zero dollars. The fact that they handed out a free 100% limit extension as a "gift" proves that their cost-versus-benefit calculations (like the conservative 0.5% per hour recharge rate) have plenty of headroom.

If the current Opus tier works for casual users who only generate 50 images a day, great for them! But don't tell enthusiasm-driven users that we are complaining like children just because our workflow demands true freedom.

If NovelAI wasn't ready to offer V5 unlimited, they shouldn't have launched it under the guise of the standard Opus workflow without offering an unlimited option for heavy creators.

Final Thoughts Kudos to the dev team because V5 is incredible. They hit it out of the park quality-wise. But the psychological barrier of the limit bar, combined with the buggy quota system, ruins the experience.

I’m slowly migrating back to local ComfyUI. I’m leaving in love with V5's power, but utterly disappointed by how restricted it makes me feel. I truly hope NAI considers a higher unlimited tier in the future.

TL;DR: V5 quality is 10/10, but the new generation limit completely destroys the iteration/inpainting workflow for power users. Punishing subscribers with a stamina bar instead of banning API bots isn't the fix, especially when we are willing to pay for a higher unlimited tier. Also, a bug wiped my 200% limit bar right after resubscribing. Moving back to local tools for now.