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You will find here all the Krea 2 image models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTX Video models with:
You will find here all the Long Cat image models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
You will find here all the LTX-2 Video models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
You will find here all the LTX Video models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video and LTV Video models with:
You will find here all the MagiHuman Video models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with: Low VRAM requirements (as low as 6 GB of VRAM is sufficient for certain models) Support for old GPUs (RTX 10XX, 20xx, ...) Very Fast on the latest GPUs Easy to use Full Web based interface Auto download of the required model adapted to your specific architecture Tools integrated to facilitate Video Generation : Mask Editor, Prompt Enhancer, Temporal and Spatial Generation Loras Support to customize each model Queuing system : make your shopping list of videos to generate and come back later Discord Server to get Help from Other Users and show your Best Videos: https://discord.gg/g7efUW9jGV
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You will find here all the MiniMax H3 image models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTX-2, LTX Video models with:
You will find here all the Qwen image models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
You will find here all the Qwen Image 2.1 models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Minimax H3, Krea-2, Flux 1 & 2, Qwen, Z-Image and LTX-2, LTX Video models with:
You will find here all the TTS models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
You will find here all the Wan 2.1 Video models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
You will find here all the Wan 2.2 video models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
You will find here all the Z-Image image models used with WanGP (https://github.com/deepbeepmeep/Wan2GP) : WanGP by DeepBeepMeep : The best Open Source Video Generative Models Accessible to the GPU Poor WanGP supports the Wan (and derived models), Hunyuan Video, Flux 1 & 2, Qwen, Z-Image and LTV Video models with:
ChemBERTa model pretrained on a subset of 100M molecules from ZINC20 dataset using masked language modeling (MLM). tokenizer = AutoTokenizer.from_pretrained("DeepChem/ChemBERTa-100M-MLM") model = AutoModelForMaskedLM.from_pretrained("DeepChem/ChemBERTa-100M-MLM")
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。
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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。
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。
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。
Basic profile indexed · More details to follow
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。
Basic profile indexed · More details to follow
Adjust provider, category or input/output filters. New models are added continuously.
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Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.
Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.
Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.
Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.
