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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。
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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🏋️♂️ **Do you want to understand how the model was trained?** Check out the 📖 full walkthrough article and the accompanying 💻 notebook The model is small, so it runs smoothly on Colab. It is also fine to load the model using quantization. With `transformers==4.44.2`, `trust_remote_code=True` is needed to incorporate a minor bug fix in `Phi3ForCausalLM`. Read this discussion for more details.
The **FLUX Uncensored LoRA v2** is an enhanced version of the original FLUX Uncensored LoRA, designed for the base model `black-forest-labs/FLUX.1-dev`. This version addresses issues present in the previous release and offers improved performance and stability. The LoRA weights have been fine-tuned to remove the base model's content restrictions, allowing for the generation of NSFW (Not Safe For Work) and other uncensored content. This LoRA extension can be loaded into the `FLUX.1-dev` pipeline using the `diffusers` library. It is optimized for high-quality, explicit image generation based on user-provided prompts. The model is intended for research and personal use, and adheres to the non-commercial license terms. > **Warning:** This model allows the generation of explicit content. Users should exercise caution and adhere to legal and ethical guidelines.
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Adjust provider, category or input/output filters. New models are added continuously.
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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.
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