Model reference · open weights

stable-diffusion-3.5-medium-amdnpu

Image stabilityai Text→image 1 build Its own licence terms 0 dl/mo

stable-diffusion-3.5-medium-amdnpu is an open-weight image model from Stability AI. stable-diffusion-3.5-medium-amdnpu (BF16) weighs 264 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • Stable Diffusion 3.5 Medium is a Multimodal Diffusion Transformer developed by Stability AI for text-to-image generation.
  • This specific version, published as stabilityai/stable-diffusion-3.5-medium-amdnpu, is optimized to run on AMD NPUs.
  • The model supports English prompts and is distributed under the Stability AI Community license.

Summary of the stabilityai/stable-diffusion-3.5-medium-amdnpu model card, 2026-10-01

What it is

Released byStability AI
Released2026-05-01
VRAM264 MB for the weights

What it runs on

Memory and cards for stable-diffusion-3.5-medium-amdnpu (BF16)

264 MBweights, file size
5.0 GBworking memory, one 1024² image
537 MBruntime overhead
CardOne imageMemory
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

From the model card

What Stability AI says about stable-diffusion-3.5-medium-amdnpu

Read the model card

"Stable Diffusion 3.5 Medium is an improved version of SD3 Medium, featuring better prompt adherence, better generation quality, and more diverse outputs. SD3.5 Medium is a Multimodal Diffusion Transformer (MMDiT) text-to-image model that features improved image quality, typography, and prompt understanding." (stabilityai/stable-diffusion-3.5-medium)

This version of the model has been optimized to run on AMD NPUs.

For more information, refer to the original model card under stabilityai/stable-diffusion-3.5-medium.

Model Details

Model DetailsDescription
Person or organization developing modelAMD
Original model authorsStability AI
Model dateFebruary 2026
Model version1.8.0
Model typeDiffusion-based text-to-image generation model
Information about training algorithms, parameters, fairness constraints or other applied approaches, and featuresThis is a model that can be used to generate and modify images based on text prompts.
LicenseStability AI Community
Where to send questions or comments about the modelCommunity Tab and AMD Developer Community Discord

⚡ Intended Use

Getting Started

To get started with this model, visit github.com/amd/sd-sandbox.

⚓ Ethical Considerations

AMD is committed to conducting our business in a fair, ethical and honest manner and in compliance with all applicable laws, rules and regulations. You can find out more at the AMD Ethics and Compliance page.

⚠️ Caveats and Recommendations

Please visit the original model card for more details: stabilityai/stable-diffusion-3.5-medium.

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

How it works

How image models work

Text promptwhat to makeText encoderunderstands itDiffusion stepsdenoise to pixelsImagePNG / JPEGA diffusion model starts from noise and denoises it, guided by your prompt, into a finished image.

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, load the workflow from the model's card on Hugging Face, and choose this file in its text encoder loader.

# 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 (251 MB)
get stabilityai/stable-diffusion-3.5-medium-amdnpu common/text_encoder_3_gptq_v2/serialized_quantized_t5-v1_1-xxl_w4_g128_gptq.safetensors text_encoders

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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