metadata

license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
base_model:
  - black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
library_name: diffusers

black-forest-labs/FLUX.1-dev - AMD Optimized ONNX

Original Model

https://huggingface.co/black-forest-labs/FLUX.1-dev

_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("Result.png");

amd
/

FLUX.1-dev_io32_amdgpu