Duplicate from ostris/ideogram_4_unconditional_lora
Browse filesCo-authored-by: Ostris <ostris@users.noreply.huggingface.co>
- .gitattributes +35 -0
- README.md +21 -0
- ideogram_4_unconditional_lora_r16.safetensors +3 -0
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README.md
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---
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license: other
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license_name: ideogram-4-non-commercial
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license_link: https://huggingface.co/ideogram-ai/ideogram-4-fp8/blob/main/LICENSE.md
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tags:
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- text-to-image
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- lora
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- diffusers
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base_model: ideogram-ai/ideogram-4-fp8
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---
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# Ideogram 4 Unconditional LoRA
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This is a LoRA that was initialized by extracting the difference of the Ideogram 4 conditional and unconditional model weights.
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It was further tuned using student teacher training on real data and a loss was performed on a per layer basis to more closely
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match the unconditional model. This can be used on the conditional Ideogram 4 model during the unconditional pass
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as a replacement to the full 9B paramiter unconditional model.
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Using the full unconditional model will likely yield better results, but this will work as a light weight alternative. It was
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originally trained to be used in [Ostris AI Toolkit](https://github.com/ostris/ai-toolkit) so samples would be more in line
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with what the full pipeline would produce without needing to load the entire unconditional model.
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ideogram_4_unconditional_lora_r16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b975bbda5a94ab364fdd23d6acd3968b062644d739c52d21a785fbb0f4493f86
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size 108966368
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