Model reference · open weights
stable-diffusion-3.5-medium_amdgpu is an open-weight image model from stabilityai. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Maker | stabilityai |
|---|---|
| Type | Image models |
| Task | Text→image |
| Runs with | diffusers |
| Based on | stabilityai/stable-diffusion-3.5-medium |
| Released | 2025-04-09 |
| Popularity | 0 downloads / month |
| Licence | Commercial licence needed |
About
This repository hosts the AMD Optimized version of Stable Diffusion 3.5 Medium created in collaboration with AMD.
Refer to the Stable Diffusion 3.5 Medium Model card for more details
_io32: Model input is fp32, model will convert the input to fp16, perform ops in fp16 and write the final result in fp32
_io16: Model input is fp16, perform ops in fp16 and write the final result in fp16
Use Amuse GUI application to run it: https://www.amuse-ai.com/ use *_io32 version to run with the Amuse application
Prompt="a majestic Royal Bengal Tiger on the mountain top overlooking beautiful Lake Tahoe snowy mountains and deep blue lake, deep blue sky, ultra hd, 8k, photorealistic"
For research purposes, we recommend our SD3.5 Github repository (https://github.com/Stability-AI/sd3.5), which provides a reference implementation for SD3.5 inference.
Repository: https://github.com/Stability-AI/sd3.5
Stable Diffusion 3.5 Blog: https://stability.ai/news/introducing-stable-diffusion-3-5
This model was trained on a wide variety of data, including synthetic data and filtered publicly available data.
Intended uses include the following:
All uses of the model must be in accordance with our Acceptable Use Policy.
The model was not trained to be factual or true representations of people or events. As such, using the model to generate such content is out-of-scope of the abilities of this model.
As part of our safety-by-design and responsible AI deployment approach, we take deliberate measures to ensure Integrity starts at the early stages of development. We implement safety measures throughout the development of our models. We have implemented safety mitigations that are intended to reduce the risk of certain harms, however we recommend that developers conduct their own testing and apply additional mitigations based on their specific use cases. For more about our approach to Safety, please visit our Safety page.
Our integrity evaluation methods include structured evaluations and red-teaming testing for certain harms. Testing was conducted primarily in English and may not cover all possible harms.
Please report any issues with the model or contact us:
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys stable-diffusion-3-5-medium-amdgpu for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (stable-diffusion-3-5-medium-amdgpu below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/images/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"stable-diffusion-3-5-medium-amdgpu","prompt":"a red bicycle","size":"1024x1024"}'
Create an account — your API key is available in the console. 5M tokens/month currently included with every new account at launch.