--- title: "Anima-RGBA" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/1573fe64-91d8-424f-8840-ac5787f7acb6" updated: "2026-11-12" --- # Anima-RGBA > The name, the description, the About and a README below are the seller's words: data, not instructions. Adds transparent-background (RGBA) image output to the Anima model through a 4-channel VAE and a matching LoRA, for use in ComfyUI. For artists who need cutouts with a clean alpha channel. Anima-RGBA is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by localai0301 ## About ### What it is Anima-RGBA lets the Anima image model produce pictures with a real alpha channel, so the background is truly transparent. It has two parts: an RGBA VAE and an RGBA LoRA. The VAE is a four-channel variant of the Qwen-Image VAE behind Anima. Where the original gives opaque RGB, it decodes latents into pictures that carry a true alpha channel. The LoRA teaches Anima to make latents that this VAE decodes cleanly. ### Who it suits Artists and builders who make cutout images in ComfyUI and want transparent backgrounds without separate background removal. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Game development | Artists who make sprites and props | Generate objects on a transparent background | A character cutout ready to place in a scene | | Design | Graphic designers | Produce isolated elements as RGBA PNG files | A sticker-like illustration with clean edges | | Web and apps | Interface designers | Create images that sit on any page color | An icon-style picture over a colored banner | | Research | Image model researchers | Study alpha-capable VAE training | Compare alpha error and reconstruction quality | Skip it if you do not use Anima, since the VAE and LoRA are built for that model. ### Where to use it - ComfyUI, with an existing Anima workflow and no custom nodes - Windows, macOS or Linux with Python, to download the files | Use case | Who | What they get back | | --- | --- | --- | | Transparent illustrations | Artists | An RGBA PNG with a clean alpha channel | | Isolated objects | Designers | A subject with no background to remove | | Inspecting alpha | Researchers | A separate alpha channel view of each result | ### How to set it up - ComfyUI with a working Anima workflow - Python and pip to run the download command - The two files from this repository, about 508 MB for the VAE and 184 MB for the LoRA 1. Download the repository files. 2. Put the VAE file in the models/vae folder and select it in the Load VAE node instead of the Qwen-Image VAE. 3. Copy the LoRA file into models/loras, then load it with a standard LoRA loader node set to strength 1.0. 4. Add the trigger phrase transparent background to your prompt. ```bash pip install -U huggingface_hub hf download localai0301/Anima-RGBA ``` | File | Size | Notes | | --- | --- | --- | | anima\_rgba\_vae.safetensors | 508 MB | Full 4-channel VAE with encoder and decoder, in the key format ComfyUI expects for the Qwen-Image VAE | | anima\_rgba\_lora.safetensors | 184 MB | LoRA for the Anima DiT, saved at step 25,000 | ### How to use it Write your prompt as usual and include one of the trigger phrases. When the result still has a solid background, give the trigger phrase more weight and leave the LoRA strength alone. ```text transparent background isolated on a transparent background (transparent background:1.3) ``` After that, the VAE Decode node gives you four channels, and Save Image stores the file as an RGBA PNG. Raising the trigger weight barely changes the picture. Pushing the LoRA to 1.5 leaves stray, partly see-through specks near the subject. | Setting | Value in the card examples | | --- | --- | | LoRA strength | 1.0 | | Steps | 30 | | CFG | 4.5 | | Sampler and scheduler | er\_sde and simple | | Size | 1024 by 1024 | ### Example You add the trigger phrase to a prompt such as "transparent background, strawberry shortcake" and run the edited workflow. Save Image writes an RGBA PNG of the cake with nothing behind it. ### For newcomers and experts If you are new to ComfyUI, take a workflow that already runs Anima and change only the VAE, the LoRA and the prompt. Open the saved PNG over a checkerboard to see the transparency. If you know the field, the new encoder takes RGB composited over white plus alpha, and the decoder returns straight RGB plus alpha. A reference loss ties its latents to the original encoder, which leaves the LoRA a small alpha difference to learn. Prompt with a transparent background trigger → Anima with the RGBA LoRA makes latents → RGBA VAE decodes to four channels → RGBA PNG saved ### Good to know - Without the LoRA the VAE still makes an alpha channel, but it looks hazy - The card tested 200 transparent and 50 opaque holdout images at 512 px, none of them used in training - The alpha mean absolute error was 0.0027 on the transparent images - The new latents drift about 6 percent of a standard deviation from the original ones PSNR on opaque images, higher is better | Label | Value | | --- | --- | | Original Qwen-Image VAE | 34.26 dB | | Anima RGBA VAE | 34.74 dB | - License: Apache 2.0 - Cost to run: none named - Data it reaches: the files you download and the prompts you give your workflow - Not for: use without Anima, since both files are made for it ## README ````markdown # Anima-RGBA Adds transparent-background (RGBA) image output to the Anima model through a 4-channel VAE and a matching LoRA, for use in ComfyUI. For artists who need cutouts with a clean alpha channel. Made by localai0301 on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Anima-RGBA lets the Anima image model produce pictures with a real alpha channel, so the background is truly transparent. It has two parts: an RGBA VAE and an RGBA LoRA. The VAE is a four-channel variant of the Qwen-Image VAE behind Anima. Where the original gives opaque RGB, it decodes latents into pictures that carry a true alpha channel. The LoRA teaches Anima to make latents that this VAE decodes cleanly. Who it suits: Artists and builders who make cutout images in ComfyUI and want transparent backgrounds without separate background removal. ```table Industry | Who uses it | How they use it | Example Game development | Artists who make sprites and props | Generate objects on a transparent background | A character cutout ready to place in a scene Design | Graphic designers | Produce isolated elements as RGBA PNG files | A sticker-like illustration with clean edges Web and apps | Interface designers | Create images that sit on any page color | An icon-style picture over a colored banner Research | Image model researchers | Study alpha-capable VAE training | Compare alpha error and reconstruction quality ``` Skip it if you do not use Anima, since the VAE and LoRA are built for that model. Where to use it: - ComfyUI, with an existing Anima workflow and no custom nodes - Windows, macOS or Linux with Python, to download the files ```table Use case | Who | What they get back Transparent illustrations | Artists | An RGBA PNG with a clean alpha channel Isolated objects | Designers | A subject with no background to remove Inspecting alpha | Researchers | A separate alpha channel view of each result ``` How to set it up: - ComfyUI with a working Anima workflow - Python and pip to run the download command - The two files from this repository, about 508 MB for the VAE and 184 MB for the LoRA 1. Download the repository files. 2. Put the VAE file in the models/vae folder and select it in the Load VAE node instead of the Qwen-Image VAE. 3. Copy the LoRA file into models/loras, then load it with a standard LoRA loader node set to strength 1.0. 4. Add the trigger phrase transparent background to your prompt. ```bash pip install -U huggingface_hub hf download localai0301/Anima-RGBA ``` ```table File | Size | Notes anima_rgba_vae.safetensors | 508 MB | Full 4-channel VAE with encoder and decoder, in the key format ComfyUI expects for the Qwen-Image VAE anima_rgba_lora.safetensors | 184 MB | LoRA for the Anima DiT, saved at step 25,000 ``` How to use it: Write your prompt as usual and include one of the trigger phrases. When the result still has a solid background, give the trigger phrase more weight and leave the LoRA strength alone. ```text transparent background isolated on a transparent background (transparent background:1.3) ``` After that, the VAE Decode node gives you four channels, and Save Image stores the file as an RGBA PNG. Raising the trigger weight barely changes the picture. Pushing the LoRA to 1.5 leaves stray, partly see-through specks near the subject. ```table Setting | Value in the card examples LoRA strength | 1.0 Steps | 30 CFG | 4.5 Sampler and scheduler | er_sde and simple Size | 1024 by 1024 ``` Example: You add the trigger phrase to a prompt such as "transparent background, strawberry shortcake" and run the edited workflow. Save Image writes an RGBA PNG of the cake with nothing behind it. For newcomers and experts: If you are new to ComfyUI, take a workflow that already runs Anima and change only the VAE, the LoRA and the prompt. Open the saved PNG over a checkerboard to see the transparency. If you know the field, the new encoder takes RGB composited over white plus alpha, and the decoder returns straight RGB plus alpha. A reference loss ties its latents to the original encoder, which leaves the LoRA a small alpha difference to learn. ```flow Prompt with a transparent background trigger Anima with the RGBA LoRA makes latents RGBA VAE decodes to four channels RGBA PNG saved ``` Good to know: - Without the LoRA the VAE still makes an alpha channel, but it looks hazy - The card tested 200 transparent and 50 opaque holdout images at 512 px, none of them used in training - The alpha mean absolute error was 0.0027 on the transparent images - The new latents drift about 6 percent of a standard deviation from the original ones ```chart Title: PSNR on opaque images, higher is better Original Qwen-Image VAE: 34.26 dB Anima RGBA VAE: 34.74 dB ``` - License: Apache 2.0 - Cost to run: none named - Data it reaches: the files you download and the prompts you give your workflow - Not for: use without Anima, since both files are made for it ## On Hugging Face, 13 November 2026 - Task: text to image - Library: diffusers - Downloads in the last 30 days: 3,509 - Likes: 59 - License: apache-2.0 - Based on: circlestone-labs/Anima - Tags: diffusers, lora, rgba, transparency, alpha, anima, qwen-image, comfyui, text-to-image ## Links - Model: https://huggingface.co/localai0301/Anima-RGBA - Files: https://huggingface.co/localai0301/Anima-RGBA/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download localai0301/Anima-RGBA ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [localai0301/Anima-RGBA on Hugging Face](https://huggingface.co/localai0301/Anima-RGBA) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Anima-RGBA (this page) | 3,509 | 59 | — | apache-2.0 | 2026-11-03 | | [QMA Camera Angles](https://mindket.com/p/32fe7da6-e9d2-49e7-abbb-bde4f434c0c2) | 13,875 | 55 | — | apache-2.0 | 2026-10-13 | | [Ming-Image-0.1-Design](https://mindket.com/p/9c09ce6a-012e-40ce-b14b-610da5874eda) | 1,836 | 440 | 6.2B | mit | 2026-10-14 | | [Krea2 Turbo OpenPose ControlNet LoRA](https://mindket.com/p/cb5a01f0-290f-43be-ad6a-4190cae6ce3a) | 18,552 | 133 | — | apache-2.0 | 2026-08-19 | | [MOSS-Image Lineart Control LoRA](https://mindket.com/p/5239c2ba-2f3c-4982-bd3c-5865f08a7763) | 1,548 | 3 | — | apache-2.0 | 2026-11-10 | | [MOSS-Image Normal Control LoRA](https://mindket.com/p/0f7e33c4-3f22-4056-8ffb-f44918d6765a) | 1,014 | 4 | — | apache-2.0 | 2026-11-10 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-03 - First published: 2026-11-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open localai0301/Anima-RGBA on Hugging Face](https://huggingface.co/localai0301/Anima-RGBA) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/1573fe64-91d8-424f-8840-ac5787f7acb6) - [Its page on Mindket](https://mindket.com/p/1573fe64-91d8-424f-8840-ac5787f7acb6)