V4

This version is based on Turbo V4. The layers for VAE and TE are still using the old AIO format that is incompatible with current version of Forge Neo, i'll see if i can make an alternative version.

V3.1 Patch

This version is leveraging Turbo V2.9 and should be able to handle better LoRAs from my tests 😊

V3 update

Using Turbo V3, far less qwen_heretic, no more p3-to-v1 backward move. It should be pretty close to a vanilla anima turbo, but with my own take on this aio checkpoint :D

V2 update

Same idea as V1, sligth change in content:

model = load_file("anima_baseV10.safetensors")
prefix_replace(model, "net.", "model.diffusion_model.")

te = load_file("qwen_3_06b_base.safetensors")
prefix_replace(te, "model.", "cond_stage_model.qwen3_06b.transformer.model.")

for k in te:
    model[k] = te[k]

merge_lora(model, "qwen-heretic-lora.safetensors", 0.4)
merge_lora(model, "Turbo-ANIMA-v1.5.safetensors", 0.9)
merge_lora(model, "anima-P3-to-V1.safetensors", -0.1)

vae = load_file("finalcut_vae.safetensors")
prefix_replace(vae, "", "first_stage_model.")
for k in vae:
    model[k] = vae[k]

save_file(model, "ANIMA-V1-Turbo-AIO_V2.safetensors")

If reading this is too hard, the summary is:

• less change in TE (0.8 before, now 0.4)

• Turbo V1.5 instead of V1

• FP32 VAE instead of BF16

V1

I had some great reviews regarding nArnima AIO, but some people would have prefered than i didn't bake in my own style to allow more flexibility... so here we go!

This is ANIMA Base V1 with the same treatment as nArnima AIO without the style part of the LoRA (only TE/Turbo/Adapter LoRA).

Usage:

• Resolution: Base V1 had a huge boost in quality with a final finetune at 1536x1536 resolution = Showcases picture are 960x1440 without any Hires.Fix or Upscale.

• sampler/scheduler: ER_SDE + Beta (or Smoothstep for sd.cpp)

• CFG: 1 since the Turbo LoRA is included (but 1.1 to 1.5 also works and allow back some negative prompting)

• steps: 8-12 should be enough with the Turbo LoRA but i go for 16.

• positive prompt: i like to start with masterpiece, best quality, score_9, newest, detailed

• flow shift: keep the default at 3 if your tool of choice display the value

Works with Forge Neo, should work with ComfyUI.

Quantized version for sd.cpp coming up on HF soon is here: https://huggingface.co/n-Arno/Anima-P3-Turbo-AIO-Q4_K/blob/main/Anima-V1-Turbo-AIO-Q4_K.gguf😁

PS: don't use my nArnima V2 LoRA on top of this model as-is or the TE will get funky (not completely broken, but it may not play nice). Override this model TE with base Qwen3-0.6b if you intend to use this very specific LoRA on top (but in this case, why not use the full model?), otherwise, for any other LoRA, no problem should arise 😅

Legal

The CircleStone Model is licensed by CircleStone Labs LLC under the CircleStone Non-Commercial License. Copyright CircleStone Labs LLC. IN NO EVENT SHALL CIRCLESTONE LABS LLC BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH USE OF THIS MODEL.