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    Anima 3.8B z3v0.1 - z3v0.1
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    Anima 3.8B z3v0.1 is a style merge on LyloGummy's 52-block Anima 3.8B (the BASE / preview release, which pairs the DiT with a Qwen3.5 4B cross-attention adapter). Six Anima LoRAs — five style LoRAs plus an eye-detail LoRA — were remapped from 28 to 52 blocks and baked in at fixed weights, then the model was quantized to MXFP8. It is the 3.8B sibling of Anima 2B z3v0.1 and Anima 2.9B z3v0.1 and carries the same five styles, tuned for this architecture.

    Compared with the 2B and 2.9B versions it follows longer natural-language prompts and multi-subject instructions better, and renders cloth and hair more realistically; the line art is softer.

    Requirements (read first)

    This is not a plain Anima checkpoint. You need all of:

    • ComfyUI 0.33.1 or newer (52-block support and MXFP8 quantized layers; a GPU with MXFP8/FP8 support is recommended — tested on an RTX 5080)

    • Custom node comfyui-anima-3-8B (the original v1 / preview node for Anima 3.8B BASE — not the v1.1 bundled-connector release)

    • Anima-3.8B-expanded_adapter.safetensors (the Qwen3.5 adapter from the Anima 3.8B BASE release) in models/text_encoders

    • qwen35_4b.safetensors (Qwen3.5 4B text encoder) in models/text_encoders

    • qwen_3_06b_base.safetensors (native Anima text encoder) in models/text_encoders

    • qwen_image_vae.safetensors in models/vae

    • About 12–13 GB of VRAM at 896x1152 in our tests

    Base model and adapter: https://civarchive.com/models/2880480?modelVersionId=3255578 and https://huggingface.co/lylogummy/Anima-3.8B . Qwen3 0.6B and the VAE: https://huggingface.co/circlestone-labs/Anima .

    • Steps: 30

    • CFG: 4.5 (negative prompts work)

    • Sampler / scheduler: res_multistep / beta

    • Model sampling: none (no ModelSamplingAuraFlow node)

    • Resolution: about 1 megapixel, e.g. 896x1152 (portrait), 1152x896 (landscape), 832x1216

    • Do not add a turbo/distill LoRA and do not load the baked LoRAs again. Ordinary 28-block Anima LoRAs must be remapped to 52 blocks before they work.

    Prompting

    • No trigger words needed. Danbooru-style tags plus a short plain-English paragraph (scene, light source, mood) work best; the showcase prompts use exactly this pattern.

    • Tip: start the prompt with enchanting eyes — it activates the baked eye-detail LoRA (richer irises and lashes).

    • For several characters, give each one its own sentence and use names instead of pronouns.

    • Close and half-body framing gives the sharpest faces; in wide shots faces get soft.

    • Add shiny skin, oily skin to the negative if skin gets too glossy; adult woman, mature female plus child, loli, chibi in the negative for adult proportions.

    • For full-body outfits, state the skirt length; hair tends to come out voluminous.

    ComfyUI

    UNETLoader (file in models/diffusion_models, weight dtype default) -> sampler. Text: CLIPLoader with qwen_3_06b_base.safetensors (type stable_diffusion) + Load Qwen3.5 4B (Anima) with qwen35_4b.safetensors + the Anima 3.8B adapter, all into the Anima 3.8B unified prompt node; use its expanded output as conditioning. VAELoader with qwen_image_vae.safetensors. Do not set the UNET loader to fp8 (the adapter path will crash); the MXFP8 layers load per-layer automatically.

    Baked components (credits)

    All LoRAs were remapped 28->52 blocks (existing blocks only; the 24 inserted blocks were left untouched). Thanks to the authors above, to LyloGummy for Anima 3.8B, and to CircleStone Labs for Anima.

    License and use

    Non-commercial. Derivative of Anima (CircleStone Labs Non-Commercial License), of Anima 2.9B / Anima 3.8B, and of the components above; their terms apply. Do not sell the model or offer it as a paid generation service.

    中文简介

    Anima 3.8B z3v0.1 是基于 LyloGummy 的 52 层 Anima 3.8B(BASE / 预览版,配 Qwen3.5 4B 适配器)的画风融合模型:把五个画风 LoRA 和 Enchanting Eyes 眼部 LoRA 从 28 层重映射到 52 层后按固定权重烤入,再量化为 MXFP8。与 Anima 2B / 2.9B z3v0.1 同一套画风,更听长句和多人描述,布料和头发更写实,线条偏软。需要 ComfyUI 0.33.1+、comfyui-anima-3-8B(v1 预览版节点)、Anima 3.8B 适配器、qwen35_4b、qwen_3_06b_base 和 qwen_image_vae。推荐 30 步、CFG 4.5、res_multistep + beta、约 100 万像素,不加 shift。不需要触发词;提示词开头加 enchanting eyes 可以让眼睛更细致。仅限非商用。

    Description

    FAQ

    Comments (7)

    tsiriioannis749Oct 18, 2026· 1 reaction
    CivitAI

    Provide a workflow, none of the pictures has any active workflow linked. You write paragraphs of text instructions with arrows and links but no workflow included ?!?!?!
    done the setup exactly as it should/you suggest and the checkpoint throws an error. all the other parts load correctly/work with other checkpoints

    lepetitprince716355
    Author
    Oct 21, 2026

    Sorry for the trouble, and thanks for flagging it. You're right, the showcase images don't carry a workflow (they were rendered by a script, so there was nothing to embed). I'll attach a minimal workflow shortly.
    The most common cause of the load error: despite the "Checkpoint" label, this file is a diffusion-model-only MXFP8 file. Put it in models/diffusion_models and load it with Load Diffusion Model (UNETLoader), weight_dtype default, not Load Checkpoint and not fp8. You also need a recent ComfyUI (native Anima + MXFP8 support) and the GumGum10/comfyui-anima-3-8B nodes (separate-adapter path: Load Qwen3.5 4B + Qwen3.5 Unified Prompt with Anima-3.8B-expanded_adapter). If it still fails, could you paste the error text and your ComfyUI version / GPU? Happy to help.

    lepetitprince716355
    Author
    Oct 21, 2026

    Update: the minimal workflow is now attached to the model version itself, as file anima38b_workflow_api.zip (Config) in the Files/download menu on https://civitai.red/models/3007309. It is in API format: unzip and load it via Workflow > Open, or drag it into ComfyUI.
    It uses UNETLoader + the GumGum10 anima-3-8B nodes. If anything errors, please share the message.

    lepetitprince716355
    Author
    Oct 21, 2026

    Update: the workflow is now v2 (anima38b_workflow_api_v2.zip, Config file on the model version), rebuilt from the exact pipeline used for the showcase images, with the seed 3511 "neon rain" image as the example. Still API format. Note: our custom speed patches are not included, so outputs may differ slightly.

    Lizardon1025Oct 27, 2026

    @lepetitprince716355 I tested your latest workflow, downloaded everything and set everything up, but still get the same error when trying to load your model via the node "Load Diffusion Model (put file in models/diffusion_models)" and yes, the model is placed there.

    # ComfyUI Error Report

    ## Error Details

    - Node ID: 1

    - Node Type: UNETLoader

    - Exception Type: KeyError

    - Exception Message: KeyError: 'F8_E8M0'

    lepetitprince716355
    Author
    Oct 27, 2026· 1 reaction

    @Lizardon1025  Hey — that KeyError isn't a bad download. This checkpoint is MXFP8; the scales use safetensors dtype F8_E8M0 (torch.float8_e8m0fnu), so UNETLoader fails if your stack can't map that dtype.

    Quick fix

    1) Confirm file: anima38BZ3v01_z3v01.safetensors (~4.0–4.1 GB) in models/diffusion_models

    2) In Comfy's Python: import torch; print(torch.__version__, hasattr(torch, "float8_e8m0fnu")) → must be True (PyTorch 2.8+ recommended)

    3) If you still get KeyError: F8_E8M0, launch with --disable-dynamic-vram (Aimdo's custom safetensors loader currently lacks F8_E8M0)

    4) UNETLoader weight dtype = default (don't pick fp8_*)

    Stack that works here (device / software only)

    - GPU: RTX 5080 16GB (Blackwell; native MXFP8 is happiest on SM≥10.0)

    - OS: Windows

    - ComfyUI: 0.33.1 (in-process path we use for this model; newer HTTP Comfy with Aimdo can hit the same KeyError)

    - Nodes: comfyui-anima-3-8B v1 / preview (not the v1.1 bundled set)

    - Also needed: Anima-3.8B-expanded_adapter, qwen35_4b, qwen_3_06b_base, qwen_image_vae, recent comfy-kitchen

    - Sampler defaults we use: 30 steps, CFG 4.5, res_multistep + beta, ~1MP, weight_dtype default / fused ck_int8 attention

    This error happens at model open, before sampling — workflow wiring is fine if those load. If it still fails after the torch check + --disable-dynamic-vram, drop your GPU / torch / Comfy versions here.

    Lizardon1025Oct 28, 2026

    @lepetitprince716355 --disable-dynamic-vram solved the issue for me, thank you for troubleshooting this issue :)

    Checkpoint
    Anima

    Details

    Downloads
    132
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/18/2026
    Updated
    11/4/2026
    Deleted
    -

    Files

    anima38BZ3v01_z3v01.zip

    Mirrors

    CivitAI (1 mirrors)