Photanima is an experimental finetune of Anima Base v1.0 to see whether it is a viable architecture for photography. Spoiler alert: it totally is.Turbo LoRA baked in. If you're on a 30-series GPU, I recommend using this with my <a target="_blank" rel="ugc" href="https://github.com/SparknightLLC/ComfyUI-INT8-Toolkit">INT8 Toolkit</a> + INT8 Lazy Torch Compile node for wicked fast gen times. All demo images generated with that combo.❤️ If you enjoy Photanima, you can help offset the cost of training:<a target="_blank" rel="ugc" href="https://ko-fi.com/liftweights">Buy liftweights a Coffee</a><hr /><h2 id="technical-details">🤓 Technical details</h2>Trained on ~1500 images for 27,500 steps. This is my <a target="_blank" rel="ugc" href="https://civarchive.com/models/2068592/snakebite-2?modelVersionId=2426502">Snakebite 2.3</a> dataset with around 100 new images and some caption cleanup. Training took approximately 24 hours on a Geforce 3090.Pros:<ul><li>Extremely fast.</li><li>Extremely good prompt adherence.</li><li>Anatomy is pretty stable. If it screws something up, changing your steps by +1/-1 usually fixes it.</li><li>Supports up to nearly 2MP with little-to-no distortions.</li></ul>At first, I noticed that Photanima's style was inconsistent - it had a tendency to regress toward a cartoony/CGI look as my prompts became more complex. I was able to mostly overcome this by splitting Photanima into constituent content and style blocks, then boosting the style strength to around ~4.2 in ComfyUI.Style is pretty consistent now, but there are some notable drawbacks.Cons:<ul><li>There are significant biases from my limited dataset. For example, you have to push your prompts pretty hard to steer the model away from its default facial features/racial biases. Yes, I have a type. I suspect this won't be a big issue for LoRA training.</li><li>It struggles with certain artistic terms like <code>silhouette</code>.</li><li>Microdetail quality is somewhere between SDXL and ZIT. Honestly, it's really good for a 2B model. Two-step upscaling with Anima doesn't help much, but I'm sure the results would be amazing if you sent a Photanima image to a different model for refinement. Or if that's too much work: just add a little film grain. It does wonders and requires no extra VRAM.</li><li>Model is a little too horny for its own good.</li></ul><hr /><h2 id="recommended-settings">🛠️ Recommended Settings</h2><ul><li>8-10 steps with v1.1 Turbo, or ~12 steps with v1.0 Turbo.</li><li>Euler or er_sde sampler. Euler is a safe pick, but er_sde might produce better details.</li><li>Simple or Beta scheduler.</li><li>CFG 1.</li><li>Preferred resolution: 832x1216 or 1040x1520.</li><li>For maximum realism, begin your prompt with <code>real life photo of...</code></li></ul>Base model settings:<ul><li>30-50 steps.</li><li>Euler sampler.</li><li>Simpler scheduler.</li><li>CFG 4-6.</li><li>Use a bunch of fluff tags like <code>masterpiece, score_9, absurdres, best quality, highres, photo \(medium\), real life</code>. Note: do not do this with Turbo.</li></ul><hr /><h2 id="roadmap">🗺️ Roadmap</h2>I'm pretty excited about the potential of Anima, but let's be clear: I'm not claiming that this checkpoint is a "ZIT killer." The correct model to compare this against is SDXL/IL - and I'm confident that Anima can dethrone it with enough community attention.Directions I'd like to explore next:<ul><li>There are a handful of Anima "detailer" LoRAs on Civitai. These are not intended for photography, but with enough block pruning, you never know. The right mix could go a long way.</li><li>I suspect doubling my dataset to ~3k images would make a big difference, especially if I can collect a wider range of faces, body types, and textures.</li><li>I'm eagerly awaiting the release of Anima Turbo 1.0. The current Turbo solution is based on Preview3 and I think it's holding back this model's potential a little.</li><li>I'm also looking forward to Anima support in OneTrainer. It will make trying experimental configs a lot less of a hassle compared to kohya-ss. For this v1 run, I stuck with safe values (prodigy, 1.0 LR, no fancy flags.)</li></ul><span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Thank you. As always, I look forward to your feedback. Please share the model and upload some images to help it gain traction.

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