TensorStack/FLUX.1-Dev-amuse
By TensorStack · ↓ 0 · ♥ 1 · Updated 2025-07-10
What's in this repo
This page lists the files in TensorStack/FLUX.1-Dev-amuse, including model.onnx and more.
- 5 ONNX models (.onnx files)
- 24 files, including 5 .png, 5 .json, 5 .onnx, 5 .data, 1 .md, 1 .txt
- Last updated 2025-07-10
ONNX files
| File | Size | Download |
|---|---|---|
| text_encoder/model.onnx | — | Download |
| text_encoder_2/model.onnx | — | Download |
| transformer/model.onnx | — | Download |
| vae_decoder/model.onnx | — | Download |
| vae_encoder/model.onnx | — | Download |
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
pipeline_tag: text-to-image
FLUX.1-dev - Onnx Olive DirectML Optimized
Original Model
https://huggingface.co/black-forest-labs/FLUX.1-dev
C# Inference Demo
https://github.com/TensorStack-AI/OnnxStack
// Create Pipeline
var pipeline = FluxPipeline.CreatePipeline("D:\\Models\\Flux_dev-f16-onnx");
// Prompt
var promptOptions = new PromptOptions
{
Prompt = "Create an image of a young woman jogging through a park, with headphones on and a determined look."
};
// 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("Result.png");
Inference Result

Model info
onnx
text-to-image
region:us
↓ 0
♥ 1
Created: 2025-07-10
Updated: 2025-07-10
View on Hugging FaceFiles (24)
.gitattributes
Icon.png
README.md
Sample.png
Sample2.png
Sample3.png
Sample4.png
amuse_template.json
text_encoder/model.onnx
ONNX
text_encoder/model.onnx.data
text_encoder_2/model.onnx
ONNX
text_encoder_2/model.onnx.data
tokenizer/merges.txt
tokenizer/special_tokens_map.json
tokenizer/vocab.json
tokenizer_2/special_tokens_map.json
tokenizer_2/spiece.model
tokenizer_2/tokenizer.json
transformer/model.onnx
ONNX
transformer/model.onnx.data
vae_decoder/model.onnx
ONNX
vae_decoder/model.onnx.data
vae_encoder/model.onnx
ONNX
vae_encoder/model.onnx.data