---
title: FLUX.1-schnell_io32_amdgpu
canonical_url: "https://www.modelscope.ai/models/AMD/FLUX.1-schnell_io32_amdgpu"
md_url: "https://www.modelscope.ai/models/AMD/FLUX.1-schnell_io32_amdgpu.md"
repository: AMD/FLUX.1-schnell_io32_amdgpu
last_updated: 2026-10-21
license: apache-2.0
pipeline_tag: text-to-image-synthesis
tasks:
  - text-to-image-synthesis
base_model:
  - black-forest-labs/FLUX.1-schnell
base_model_relation: finetune
library_name:
  - onnx
  - pytorch
frameworks:
  - pytorch
downloads: 254
stars: 0
---

# FLUX.1-schnell_io32_amdgpu

> FLUX.1-schnell_io32_amdgpu - An open-source model by AMD on ModelScope. black-forest-labs/FLUX.1-schnell - AMD Optimized ONNX

AMD/FLUX.1-schnell_io32_amdgpu is a text-to-image-synthesis model on ModelScope. licensed under apache-2.0. derived from black-forest-labs/FLUX.1-schnell.

- **Repository**: AMD/FLUX.1-schnell_io32_amdgpu
- **License**: apache-2.0
- **Tasks**: text-to-image-synthesis
- **Base model**: black-forest-labs/FLUX.1-schnell
- **Downloads**: 254
- **Stars**: 0
- **Last updated**: 2026-10-21

Source: https://www.modelscope.ai/models/AMD/FLUX.1-schnell_io32_amdgpu

---

# black-forest-labs/FLUX.1-schnell - AMD Optimized ONNX

## Original Model
https://huggingface.co/black-forest-labs/FLUX.1-schnell

## _io32/16
_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

## Running

### 1. Using Amuse GUI Application

Use Amuse GUI application to run it: https://www.amuse-ai.com/

use _io32 model to run with Amuse application


### 2. Inference Demo

https://github.com/TensorStack-AI/OnnxStack

```
// csharp example
// Create Pipeline
var pipeline = FluxPipeline.CreatePipeline("D:\\Models\\Flux.1-dev_amdgpu");
// Prompt
var promptOptions = new PromptOptions
{
    Prompt = "a majestic Royal Bengal Tiger on the mountain top overlooking beatiful Lake Tahoe snowy mountains and deep blue lake, deep blue sky, ultra hd, 8k, photorealistic"
};
// Scheduler Options
var schedulerOptions = pipeline.DefaultSchedulerOptions with
{  
    InferenceSteps = 50,
    GuidanceScale = 3.5f,
    SchedulerType = SchedulerType.FlowMatchEulerDiscrete,
};

// Run pipeline
var result = await pipeline.GenerateImageAsync(promptOptions, schedulerOptions);

// Save Image Result
await result.SaveAsync("sample.png");
```

## Inference Result
![Intro Image](sample.png)