Run Kandinsky 6.0 Locally: RTX 4090 Guide to the Open Video Model
Kandinsky 6.0 is an open-source text-to-video model that runs on consumer GPUs. Here's how to install it locally or use it via Fal.ai.
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Kandinsky 6.0 is an open-source text-to-video model that runs on consumer GPUs. Here's how to install it locally or use it via Fal.ai.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.41.0: QwenImage 2.1 pipeline and more · huggingface/diffusers
TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.
The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability...
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.40.0: New pipelines, tensor-parallel support, improved CLI, and more · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.39.0: New image and video pipelines, core library improvements, and more · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.38.0: New image and audio pipelines, Core library improvements, and more · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Fixes for AutoModel type hints in Modular Pipelines and Flux Klein LoRA loading · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.37.0: Modular Diffusers, New image and video pipelines, multiple core library improvements, and more 🔥 · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.36.0: Pipelines galore, new caching method, training scripts, and more 🎄 · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release 🐞 fixes for `transformers` models, imports, · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release v0.35.1 for improvements in Qwen-Image Edit · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.35.0: Qwen Image pipelines, Flux Kontext, Wan 2.2, and more · huggingface/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch. - Release Diffusers 0.34.0: New Image and Video Models, Better torch.compile Support, and more · huggingface/diffusers
in this tutorial, we show the step by step process for fine-tuning a FLUX.1 model on an NVIDIA GPU on the cloud.
In this article discover Quanto a powerful quantization technique designed to optimize deep learning models without compromising the performance of the model.
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