Model reference · open weights

AnythingV5

Image Yntec · community Text→image 1 build Open weights 4k dl/mo

AnythingV5 is an open-weight image model from Yntec. AnythingV5 (FP32) weighs 1.4 GB; the smallest configuration that runs it is RTX 3060 12 GB.

What it is

Released byYntec
TypeImage models
TaskText→image
Parameters (lead)860M
Runs withdiffusers
Based onYntec/AnythingV3
Released2024-05-22
Popularity4k downloads / month
Weights1.4 GB (AnythingV5 (FP32), file size)
LicenceOpen weights

What it runs on

Memory and cards for AnythingV5 (FP32)

Weights 1.4 GB (file size) · its biggest part 860 MB · working memory for one 1024×1024 image about 5.0 GB · overhead about 537 MB.

CardOne 1024×1024 imageCounted
memory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

Estimates, not measurements: the weights are the build's file size; one 1024×1024 image needs about 5 GB of working memory (larger images more); "encoders offloaded" means only the biggest part is on the card at once — diffusers' model offload, or ComfyUI unloading the text encoder. diffusers can also place a pipeline's parts on separate cards (device_map) — not estimated here. Counted memory is 92 % of what CUDA reports for the card.

From the model card

What Yntec says about AnythingV5

768x768 version of this model with the kl-f8-anime2 VAE baked in for the Inference API.

Samples and prompts:

(Click for larger)

Top right: highquality, masterpiece, 1girl, Chi-Chi, close up, arms up, pink helmet, black hair, black eyes, blush, white teeth, bikini armor, aqua cape, pink gloves, pink boots, cleavage. cave, rock, mountain. blue collar, CHIBI.

Top left: retro videogames, robert jordan pepperoni pizza, josephine wall winner, hidari, roll20 illumination, radiant light, sitting elementary girl, Pretty CUTE, gorgeous hair, DETAILED CHIBI EYES, Magazine ad, iconic, 1943, Cartoon, sharp focus, 4k, towel. comic art on canvas by kyoani and ROSSDRAWS and watched

Bottom left: icon of adorable little red panda, round frame, blue glow, wearing shoes. CHIBI

Bottom right: Highly detailed, High Quality, Masterpiece, beautiful, cute girl as toon link, teal headwear, glad Zelda

Source: https://huggingface.co/swl-models/Anything-v5.0-PRT/tree/main

512x512 version: https://huggingface.co/stablediffusionapi/anything-v5

Quoted from the model card on Hugging Face — the full card is behind the Hugging Face link above.

Running it yourself

Run it on a rented GPU

Rent a machine by the hour — ComfyUI is installed on it. Open ComfyUI through the tunnel: its default workflow loads a checkpoint — choose this model's file in Load Checkpoint, with the settings its model card gives.

# on your rented machine: pip install diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained("Yntec/AnythingV5", torch_dtype=torch.bfloat16).to("cuda")
image = pipe(prompt="a red bicycle on a cobbled street").images[0]
image.save("/workspace/out.png")
Renting a GPU — connect, tunnels, Python
# on your rented machine (the ssh line is on its page in the console)
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }

# the model (2.0 GB)
get Yntec/AnythingV5 Anything-v5.0-PRT.safetensors checkpoints

start-comfyui
Renting a GPU — connect, tunnels, ComfyUI
# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST and PORT are your machine's, from its page in the console
ssh -L 8188:localhost:8188 dev@HOST -p PORT
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