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- See What GPU to Use with FLUX. 1 AI Image Model | Hardware Corner
The best GPU for FLUX 1 largely depends on the specific model version you plan to use and your available budget For those who prioritize quality and have the budget, a high-end NVIDIA GPU with at least 24 GB of VRAM is the optimal choice
- Best use cases for an NPU in your Windows 11 laptop
Amuse is one of the few GenAI apps that can do text-to-image generation on-device, accelerated by an NPU It uses the FLUX 1 Schnell model for image generation on AMD hardware, but also supports
- Flux AI Options for AMD GPUs and Setup Guide
Here's a list of UIs that work with AMD GPUs for running Flux AI models Keep in mind, they all use different versions of Flux AI and loras, so it's kind of a mess and gets updated daily If you've got a 7900xtx, check out Amuse 2 1 You can find it here You'll need the latest drivers to run an ONNX version of Flux AI Schnell
- GitHub - TencentARC FluxKits
We present FluxKits, a repo that facilitate the usage of Flux series models It consists of the following two parts: Flux-mini: A 3 2B MMDiT model distilled from Flux-dev Flux-NPU: A tool base that helps you to run your flux on NPUs Images generated with Flux-Mini:
- Running Gen AI [ LLM , Image , Audio] On AMD AI PC
Right now, AMD’s NPU mainly supports some LLMs, but image and audio generation models might not fully run on it—you may need to use the integrated GPU instead
- gpustack FLUX. 1-mini-GGUF · Hugging Face
We compared our Flux-Mini with Flux-Dev on a single Ascend 910B NPU with BF16 precision, with batch-size=1, deepspeed stage=2, gradient_checkpoint=True For inference, we adopt num_steps=50 The costs of T5, CLIP and VAE are included OOM means out-of-memory
- Amuse 2. 1 Beta Is Now Available: Introducing FLUX. 1 Support, Bug Fixes . . .
The new Amuse 2 1 Beta brings support for the newly launched FLUX 1 Schnell model on applicable AMD hardware It also includes various bug fixes and even more Stable Diffusion models for users for enhanced experiences
- GPU Support - Flux
Old versions of Flux automatically loaded CUDA jl to provide GPU support Starting from Flux v0 14, it has to be loaded separately Julia's package extensions allow Flux to automatically load some GPU-specific code when needed Non-NVIDIA graphics cards are supported by other packages
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