RDBT [Anima]
This is a general finetuned + distilled model.
Better quality, better prompt adherence.
Dataset contains ~10k handpicked images with accurate NL captions from LLM, body/hands anatomy. Does not contain any shiny plastic glossy AI image.
Some cover images look ridiculous; they're just for demonstration purposes for corner cases.
I use this model as a clean starting point to stack more LoRAs.
See this page for update log and version info.
For advanced users: RDBT model is trained as LoRA natively. See this page for original LoRA.
For those who don't want to stack style LoRAs and is looking for a out-of-the-box ckpt: RDBT | Anime, which is based on RDBT finetuned base, but optimized for high quality digital art.
Links to base model:
prefix with ym: AnimaYume (hf link) (civitai link).
prefix with b (base), p (preview): Anima pretrained (hf link)
Usage:
Settings:
CFG: 1~3. This model has been distilled. You can disable CFG (CFG 1) and run the model 2x faster. Cover images are without CFG for demonstration. "RenormCFG" node is highly recommended if CFG is enabled (CFG > 1), set "renorm_cfg" value to 1.1.
Steps: 16+
Sampler: Euler (best diversity), Euler a/er_sde etc. (better stability)
Res: 1MP
Prompt:
Always specify style in prompt, or use a style LoRA. Otherwise, you will get random/mixed style. This is a feature, not a bug. This model does NOT have overfitted default style (which ignores prompt and is always active).
Quality tags:
Omit ALL quality tags. You don't need those. The fine-tuning dataset has higher quality than "masterpiece". Thus quality tags don't have effects. Omitting those redundant tokens allows LLM to pay more attention on other words.
Sharing merges using this model is not allowed.
This mode is a free and it will always be free. This "restriction" won't affect anyone. It's only aimed at those who steal others' models to sell.
Known model thieves: NukeA.I (selling this model behind paywall on tensorart).
I wrote a story about it. Also contains a guide for trainers about "how to bake special trigger word into your model".
Description
FAQ
Comments (14)
Looks great. Really good work well done 👍. Have a ever considered collaborating with @duongve13112002 to make a solid, stable and high quality Preview 2 checkpoint? As I love preview 1 but the natural language prompt adherence is better especially for more complex scenes and with multiple subjects on P2.
Any examples? I tested p2 and I think prompt adherence is the same as p1, afaik, they were still using tag based captions. And RDBT has better prompt adherence than p2, at cost of built-in styles.
the original p1 does have some stability issues, but it is a "pretrained" model, it should be unbiased and thus unstable. It's ideal for finetuning, but not ideal for users.
I think p2 is a finetuned model, which is difficult to finetune again. Some people said it takes longer to train LoRA on p2, that might be the prove.
@reakaakasky it's been a while since I used it but what is your opinion on NetaYume Lumina aa I think it's great I don't know how it compares to anima tho.
Lumina has way better aesthetics than Cosmos predict 2.
Cosmos predict 2 has better logical understanding.
How are you training these ? LCM ?
just cfg distillation
I see , thank you
Was just curious to try as well.
Tried LCM but it didn't turn out that well , it may need same dataset as original model was trained on.
Works quite well with https://civitai.com/models/2466415/cosmos-predict25-2b-base-distilled-extracted-dmd2-lora at 0.7 strength, 12 steps cfg 1, and https://github.com/pamparamm/ComfyUI-ppm for somewhat working negatives
(silly example prompt: "2girls, kissing (score_9, blushing, :-1.0)" )
very cool
Do you have an fp8 version of anima preview 2?
no, I gave up. it's slower in ComfyUI. fp8 needs torch.compile to inline kernels. Right now torch.compile is unusable, and will be unusable forever if they enforce their dynamic vram mode. On my hardware it's even slower 20% than bf16 +compile.
https://huggingface.co/Bedovyy/Anima-FP8/tree/main
Not mine, not tested, enabled hw fp8, but no calibration metadata.
@reakaakasky Yea, i'm rolling now with silveroxides int8 quant. Slightly faster than fp8 while having basically bf16 quality. 2.34s/it vs. 1.58s/it on my hardware fp16 preview2 vs int8 preview2, no torch compile. Seeds look fairly similar. Btw you were right about klein anime finetune in the making. Apparently chenkin is at it.
. https://huggingface.co/silveroxides/Anima-Quantized/tree/main
@deitychaser I don's see the chenkin klein finetune on their page, or did they just start?
@mc355168 Yea, its still in trainig in testing.
Man all of my lora floading here since your checkpoint is my favorite and use it to generate sample for them lol Still enjoying the checkpoint very much thankfull for it !
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