AnimateLCM-SVD-Comfy
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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`flux1-dev-fp8.safetensors` is `float8_e4m3fn`, original upload name kept for backwards compatibility. https://huggingface.co/Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro flux1-dev-fp8.safetensors, flux_shakker_labs_union_pro-fp8_e4m3fn and it's variants falls under the [`FLUX.1 [dev]` Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). flux1-schnell-fp8.safetensors falls under the Apache-2.0 License.
To be used with ComfyUI native HunyuanVideo implementation, or my wrapper: https://github.com/kijai/ComfyUI-HunyuanVideoWrapper GGUF's created using city96's scripts, and only works with their nodes: https://github.com/city96/ComfyUI-GGUF
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The fp8 quantizations were done with the basic static weight scales and are set to not run with fp8 matmuls, the models marked `input_scaled` additionally have activation scaling, and are set to run with fp8 matmuls on supported hardware (roughly 40xx and later Nvidia GPUs). As this is first time I'm attempting to do calibrate input scales, these are pretty experimental, but result wise seems to work, this is a test on a 4090, 8 steps with distill: **update:** input_scaled_v3 follows the same pattern as the official one where blocks 0-1 and 46-47 (first two and last two) are kept in bf16, as well as better calibrated input scales, this does fix some of the issues in v2, especially when using input audio.
Starting from this commit https://github.com/Comfy-Org/ComfyUI/commit/f266b8d352607799afb4adf339cdfa854025185e Embedding connector has been moved from text encoder to diffusion model, so to continue using single files you now have to update KJNodes and use my loaders: LTX2 Tiny VAE has been trained by madebyollin, and now has preliminary support in ComfyUI nightly version.
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper and ComfyUI native WanVideo nodes. I've also started to do fp8_scaled versions over here: https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled SkyReels: https://huggingface.co/collections/Skywork/skyreels-v2-6801b1b93df627d441d0d0d9
Better fp8 scaled models (when measured against fp16) based on quantization code from https://github.com/Tencent-Hunyuan/HunyuanVideo/blob/main/hyvideo/modules/fp8_optimization.py Can be used with: https://github.com/kijai/ComfyUI-WanVideoWrapper (latest version) and ComfyUI native WanVideo nodes. The e5m2 marked as v2 is the one uploaded here and these are all scaled even if I forgot to label properly.
Various GGUF quants of WanVideo models and modules, mainly for ComfyUI usage. --- GGUF VACE modules can be used in the WanVideoWrapper as extra_models, or in native workflows using `GGUFLoaderKJ` node from KJNodes.
基础档案已收录,详细介绍后续补充。可先查看厂商、分类与来源。
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