| | --- |
| | 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"); |
| | ``` |
| |
|
| | ## Inference Result |
| |  |
