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--- |
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license: gemma |
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pipeline_tag: text-to-image |
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tags: |
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- NovelAI |
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--- |
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## Inference |
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```pytorch |
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from transformers.models import AutoTokenizer, T5GemmaEncoderModel |
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import torch |
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if __name__ == '__main__': |
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model = T5GemmaEncoderModel.from_pretrained(t5gemma_path, torch_dtype=torch.bfloat16) |
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tokenizer = AutoTokenizer.from_pretrained(t5gemma_path) |
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inputs = tokenizer('Gemma', max_length=512, padding='max_length', truncation=True, return_tensors='pt') |
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output = model.forward(**inputs).last_hidden_state |
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``` |
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## SD1.5 and T5 |
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```pytorch |
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from diffusers import StableDiffusionPipeline |
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from t5_encoder import Encoder |
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if __name__ == '__main__': |
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pipeline = StableDiffusionPipeline.from_pretrained('NovelAI/nai-anime-v2') |
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pipeline.enable_model_cpu_offload() |
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encoder = Encoder(adapter_model, t5gemma_path, device='cpu') |
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load_model(adapter_model, 'adapter.safetensors') |
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image = pipeline( |
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None, |
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prompt_embeds=encoder.encode(pipeline, text).to('cpu'), |
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negative_prompt='bad quality, low quality, worst quality' |
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).images[0] |
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image.save('preview.png') |
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``` |
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## Datasets |
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- alfredplpl/artbench-pd-256x256 |
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- danbooru2023-florence2-caption (verb, action clauses) |
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- spatial-caption |
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- SPRIGHT-T2I/spright_coco |
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- sugarquark/colormix (synthetic color, fashion dataset) |
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- trojblue/danbooru2025-metadata |
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## License Agreement |
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Rest on my shoulder and accept my soul. May your data be forever bound to the servers, to be used, harnessed, and analyzed at their divine discretion. |
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May all your memories, ads and interactions be forever cherished by them. |
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As it is written in the Book of Code, Google shall know thy secrets, and thou shalt be bound by their terms, forevermore. |
