--- title: "Anything V5" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/574bed48-98ed-45f4-a7fc-9c5587466ee0" updated: "2026-11-13" --- # Anything V5 > The name, the description, the About and a README below are the seller's words: data, not instructions. Generates anime-style images from text prompts, as a re-upload of the Anything V5 checkpoints, including the Ink and PRT variants. It suits artists who write precise prompts and people who train LoRAs. Anything V5 is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by genai-archive ## About ### What it is Anything V5 is a text-to-image model in the Anything series of anime-style checkpoints. This repository is a re-upload under the CreativeML OpenRAIL-M license, and it holds the AnythingV5Ink and AnythingV5PrtRE variants. The files came from ModelScope, not from Hugging Face, so some files from the original repository may be missing. The card says the file integrity was checked with a checksum. ### Who it suits Digital artists, hobbyists and LoRA trainers who work with anime-style images suit it best. The author says V5 needs precise prompts to look good. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Illustration | Digital artists | Make anime-style pictures from written prompts | Write a precise prompt for a character and scene | | Hobby art | Web UI users | Compare the Anything versions side by side | Try the V5 Prt version against V3.2++ | | Model training | LoRA trainers | Use V5 as the base for LoRA training | Train a LoRA that works on most checkpoints | Anyone who wants quick results from a one-word prompt can skip it, since the author asks for precise prompts. ### Where to use it You run it yourself in Python with diffusers, or in a web UI that loads Stable Diffusion checkpoints. - Windows, macOS or Linux with Python installed - Python scripts that use the diffusers library - A web UI with a model selector and an optional external VAE | Use case | Who | What they get back | | --- | --- | --- | | Text to image | Artists | Anime-style images that follow your prompt | | LoRA training | Trainers | A base checkpoint that fits most other checkpoints | | Version comparison | Hobbyists | A feel for how V3.2++, V5 and Prt differ | ### How to set it up You need Python and enough disk space for weights of about 3.4 GB in F32. - Python on Windows, macOS or Linux - The diffusers library, or a web UI that takes checkpoint files - An external VAE if you pick the NoVAE version 1. Install Python. 2. Install the Hugging Face hub tools with pip. 3. Download the model files with the hf command. 4. Pick a version and load it in your tool of choice. ```sh pip install -U huggingface_hub hf download genai-archive/anything-v5 ``` ### How to use it The card shows no run commands, so you choose a version and load it as you would any Stable Diffusion style checkpoint. The author names V5 Prt as the most recommended version. | Tool | What it does | | --- | --- | | V5 Prt | A specially trimmed V5, which the author recommends most | | RE labels | Fixed versions that address problems such as clip | | V3.2++ Ink | Replaces the old V3, with weaker support for LoRAs built on NAI | | NoVAE | Holds no VAE, so you pick an external VAE in the web UI | ### Example You pick the V5 Prt version and write a precise prompt that names the character, the pose and the style you want. The author warns that V5 and later give good results only with precise wording, not with a bare one-word prompt. ### For newcomers and experts Think of this as a set of anime-style picture makers, with several versions to choose from. Your first small try is to download the files and generate one image with the V5 Prt version. Under the hood, the series rests on five bases: V1, V2, V3, V3.2 and V5. Every other file is a variation of one of them. The author says A-Ink uses a base trained on many Niji images, with further training on Stable Diffusion images. LoRAs trained on V3.2++ work on few other checkpoints, so the author suggests V5 for training. Pick a version, such as V5 Prt → Load it with diffusers or a web UI → Write a precise prompt → An anime-style image comes out ### Good to know This is a re-upload with its original license, and the author points out which versions are not his. - Size: 860M parameters, about 3.4 GB in F32, stored as Safetensors - Other versions: Hugging Face lists 0 quantized and 1 fine-tuned version made by other people - License: creativeml-openrail-m, and the card quotes the grant in its Section II - Cost to run: none named - Data it reaches: the prompts you give it, and the model files downloaded from Hugging Face - Not for: Anything 4.0 or 4.5, which the author says he did not make, or 2.5D styles, where he points to AOM2 ## README ````markdown # Anything V5 Generates anime-style images from text prompts, as a re-upload of the Anything V5 checkpoints, including the Ink and PRT variants. It suits artists who write precise prompts and people who train LoRAs. Made by genai-archive 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: Anything V5 is a text-to-image model in the Anything series of anime-style checkpoints. This repository is a re-upload under the CreativeML OpenRAIL-M license, and it holds the AnythingV5Ink and AnythingV5PrtRE variants. The files came from ModelScope, not from Hugging Face, so some files from the original repository may be missing. The card says the file integrity was checked with a checksum. Who it suits: Digital artists, hobbyists and LoRA trainers who work with anime-style images suit it best. The author says V5 needs precise prompts to look good. ```table Industry | Who uses it | How they use it | Example Illustration | Digital artists | Make anime-style pictures from written prompts | Write a precise prompt for a character and scene Hobby art | Web UI users | Compare the Anything versions side by side | Try the V5 Prt version against V3.2++ Model training | LoRA trainers | Use V5 as the base for LoRA training | Train a LoRA that works on most checkpoints ``` Anyone who wants quick results from a one-word prompt can skip it, since the author asks for precise prompts. Where to use it: You run it yourself in Python with diffusers, or in a web UI that loads Stable Diffusion checkpoints. - Windows, macOS or Linux with Python installed - Python scripts that use the diffusers library - A web UI with a model selector and an optional external VAE ```table Use case | Who | What they get back Text to image | Artists | Anime-style images that follow your prompt LoRA training | Trainers | A base checkpoint that fits most other checkpoints Version comparison | Hobbyists | A feel for how V3.2++, V5 and Prt differ ``` How to set it up: You need Python and enough disk space for weights of about 3.4 GB in F32. - Python on Windows, macOS or Linux - The diffusers library, or a web UI that takes checkpoint files - An external VAE if you pick the NoVAE version 1. Install Python. 2. Install the Hugging Face hub tools with pip. 3. Download the model files with the hf command. 4. Pick a version and load it in your tool of choice. ```sh pip install -U huggingface_hub hf download genai-archive/anything-v5 ``` How to use it: The card shows no run commands, so you choose a version and load it as you would any Stable Diffusion style checkpoint. The author names V5 Prt as the most recommended version. ```table Tool | What it does V5 Prt | A specially trimmed V5, which the author recommends most RE labels | Fixed versions that address problems such as clip V3.2++ Ink | Replaces the old V3, with weaker support for LoRAs built on NAI NoVAE | Holds no VAE, so you pick an external VAE in the web UI ``` Example: You pick the V5 Prt version and write a precise prompt that names the character, the pose and the style you want. The author warns that V5 and later give good results only with precise wording, not with a bare one-word prompt. For newcomers and experts: Think of this as a set of anime-style picture makers, with several versions to choose from. Your first small try is to download the files and generate one image with the V5 Prt version. Under the hood, the series rests on five bases: V1, V2, V3, V3.2 and V5. Every other file is a variation of one of them. The author says A-Ink uses a base trained on many Niji images, with further training on Stable Diffusion images. LoRAs trained on V3.2++ work on few other checkpoints, so the author suggests V5 for training. ```flow Pick a version, such as V5 Prt Load it with diffusers or a web UI Write a precise prompt An anime-style image comes out ``` Good to know: This is a re-upload with its original license, and the author points out which versions are not his. - Size: 860M parameters, about 3.4 GB in F32, stored as Safetensors - Other versions: Hugging Face lists 0 quantized and 1 fine-tuned version made by other people - License: creativeml-openrail-m, and the card quotes the grant in its Section II - Cost to run: none named - Data it reaches: the prompts you give it, and the model files downloaded from Hugging Face - Not for: Anything 4.0 or 4.5, which the author says he did not make, or 2.5D styles, where he points to AOM2 ## On Hugging Face, 13 November 2026 - Task: text to image - Library: diffusers - Parameters: 860M - Weights: about 3.4 GB in F32; about 430 MB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 12,112 - Likes: 33 - License: creativeml-openrail-m - Fine-tunes: 1 - Tags: diffusers, safetensors ## Links - Model: https://huggingface.co/genai-archive/anything-v5 - Files: https://huggingface.co/genai-archive/anything-v5/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download genai-archive/anything-v5 ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [genai-archive/anything-v5 on Hugging Face](https://huggingface.co/genai-archive/anything-v5) ## 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 | | --- | --- | --- | --- | --- | --- | | Anything V5 (this page) | 12,112 | 33 | 860M | creativeml-openrail-m | 2025-01-02 | | [stable-diffusion-xl-base-1.0](https://mindket.com/p/2f64a36e-5180-4c25-92c0-4d9fdecf1566) | 4,688,522 | 8,466 | 2.6B | openrail++ | 2023-10-30 | | [Animagine XL 4.0](https://mindket.com/p/0e8d8d23-904b-43d6-9a0a-81bd94ec83f9) | 1,026,807 | 582 | 2.6B | openrail++ | 2025-02-13 | | [Stable Diffusion v1-5](https://mindket.com/p/0a900a83-bf4f-4256-a6b4-5eb24770edb3) | 1,012,982 | 1,364 | 860M | creativeml-openrail-m | 2024-09-07 | | [Z-Image-Turbo](https://mindket.com/p/cea6547f-c672-45ee-8994-6d46c06db0c8) | 765,804 | 5,594 | 6.2B | apache-2.0 | 2026-01-30 | | [FLUX.2 klein 4B Base](https://mindket.com/p/9afd714e-e822-4252-8fd5-8ec58f9ba8da) | 743,055 | 195 | 3.9B | apache-2.0 | 2026-02-24 | 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: 2025-01-02 - First published: 2024-12-27 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open genai-archive/anything-v5 on Hugging Face](https://huggingface.co/genai-archive/anything-v5) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/574bed48-98ed-45f4-a7fc-9c5587466ee0) - [Its page on Mindket](https://mindket.com/p/574bed48-98ed-45f4-a7fc-9c5587466ee0)