Hakurei
Rank:Average Model Cost: $0.0000
Number of Runs: 321,045
Models by this creator
waifu-diffusion
waifu-diffusion
Waifu-diffusion is a text-to-image model that generates anime-style images of female characters based on textual descriptions. It uses deep learning techniques to learn the relationship between text and corresponding image features, and then generates visually appealing and coherent images based on provided text prompts. This model can be useful for various applications such as content creation, character design, and visual storytelling in the anime and manga industry.
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309.8K
Huggingface
artstation-diffusion
artstation-diffusion
artstation-diffusion v1.0 - Diffusion for normal people. artstation-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality Artstation images through fine-tuning. Aspect Ratio Bucketing has been used during finetuning. This model can generate different aspect ratios VERY WELL. knight, full body study, concept art, atmospheric License This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: You can't use the model to deliberately produce nor share illegal or harmful outputs or content The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully) Please read the full license here Downstream Uses This model can be used for entertainment purposes and as a generative art assistant. Example Code Team Members and Acknowledgements Anthony Mercurio In order to reach me, you can join my Discord server.
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239
Huggingface
lotus-12B
lotus-12B
🪷 Lotus-12B Lotus-12B is a GPT-NeoX 12B model fine-tuned on 2.5GB of a diverse range of light novels, erotica, annotated literature, and public-domain conversations for the purpose of generating novel-like fictional text and conversations. Model Description The model used for fine-tuning is Pythia 12B Deduped, which is a 12 billion parameter auto-regressive language model trained on The Pile. Training Data & Annotative Prompting The data used in fine-tuning has been gathered from various sources such as the Gutenberg Project. The annotated fiction dataset has prepended tags to assist in generating towards a particular style. Here is an example prompt that shows how to use the annotations. And for conversations which were scraped from My Discord Server and publicly available subreddits from Reddit: The annotations can be mixed and matched to help generate towards a specific style. Downstream Uses This model can be used for entertainment purposes and as a creative writing assistant for fiction writers and chatbots. Example Code An example output from this code produces a result that will look similar to: Team members and Acknowledgements This project would not have been possible without the work done by EleutherAI. Thank you! Anthony Mercurio Imperishable_NEET In order to reach us, you can join our Discord server.
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152
Huggingface
bloom-1b1-arb-thesis
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83
Huggingface
Literature-3B-4096
Literature-3B-4096
Literature-3B-4096 - A Large Fine-tuned Model For Lengthy Fictional Storytelling Literature-3B-4096 is a GPT-NeoX 3B model fine-tuned on 2GB of a diverse range of light novels, erotica, and annotated literature for the purpose of generating novel-like fictional text. Model Description The model used for fine-tuning is RedPajama-INCITE-Base-3B-v1, which is a 3 billion parameter auto-regressive language model. Training Data & Annotative Prompting The data used in fine-tuning has been gathered from various sources such as the Gutenberg Project. The annotated fiction dataset has prepended tags to assist in generating towards a particular style. Here is an example prompt that shows how to use the annotations. The annotations can be mixed and matched to help generate towards a specific style. Downstream Uses This model can be used for entertainment purposes and as a creative writing assistant for fiction writers. Example Code An example output from this code produces a result that will look similar to: Team members and Acknowledgements Anthony Mercurio: Training 11b: Long Context Imperishable_NEET: Dataset
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78
Huggingface
Literature-7B-16384
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71
Huggingface
RedPajama-3B-16384
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58
Huggingface