
Checkpoint merge on Anima-2.9B (40-block). Same idea as the 3.8 file: anime / illustration first, some kemonomimi. Use it like a normal Anima model.
Text encoder: qwen_3_06b
VAE: official Anima / Qwen-Image VAE
Prompt: anime, masterpiece, best quality, ultra detailed, absurdres, sharp focus, intricate details, cinematic dramatic lighting, strong chiaroscuro,
V5 — digital art. Gloss, hard contour, 2.5D texture.
V6 — Aesthetic line, same family as V2/V3. Flatter anime drawing, rougher paint. Not a clarity upgrade over V5 and not a return to it.
Ksampler
Steps: 30/40
CFG: 4.0–5.5
Sampler: Euler ancestral
Scheduler: normal
detail / upscale
Steps: 10–20
CFG: 2.0–3.5
Sampler: DPM++ 2M
Scheduler: sgm_uniform

These files are 40-block Anima-2.9, same chassis as the original 2.9B. Stock Comfy often loads them as 28 blocks with no hard error — that is the colored static.
You need the loader patch from the original 2.9B author:
https://github.com/gazingstars123/ComfyUI-Anima-2.9B
Original 2.9B page (same depth expansion):
https://civarchive.com/models/2855007/anima-29b
Put the folder in custom_nodes, restart, then check the startup/load log for 40 blocks, not 28.
Also still need: official Anima / qwen_image VAE, CLIP qwen_3_06b_base + qwen_image, 16ch latent (not EmptyLatentImage 4ch), AuraFlow shift ~3–4.5. Delta Mix nodes are not required just to run the baked checkpoint.
Credits
Anima Base / Anima-2.9B — original authors
Method: Anima Delta Mix — 2B into 2.9B / 3.8B
V1 - Anima Base / Anima-2.9B: G1 - Aura Rising
V2 - Anima Base / Anima-2.9B: Stem CC-Dream Island-anima v2.0/ G1 aniMurr
V3 - Anima Base / Anima-2.9B — Stem Chosen-mix_anima / G1 aniMurr
V4/V5/V6/V7 - Anima Base / Anima-2.9B: Custom Stem/G1
V7.5 - Direct evolution of v7. Increased base image sharpness, cleaner generation. Polished variant focused on clean lines and frame clarity.
License follows Anima (non-commercial). Do not sell the weights.
Description
FAQ
Comments (1)
It’s my favorite model so far; it holds its own against 3.8B models in terms of quality, and comparing it to a 2B model, the difference in image quality is noticeable. The only downside is that the architecture is new and there isn't much content available for these models yet, but I’ll keep experimenting to see how to get the most out of them. Of all the 2.9B models, this is the one I like best.
















