JosephusCheung
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Update README.md
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README.md
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license: gpl-3.0
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---
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license: gpl-3.0
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---
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# Easy CLIP Embeddings alignment with Guannaco Models
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```python
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pipe = StableDiffusionPipeline(...)
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# llm_model = load_quant('/GuanacoOnConsumerHardware', 'guanaco7b-4bit-128g.pt', 4, 128, 0)
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llm_tokenizer = LlamaTokenizer.from_pretrained("JosephusCheung/Guanaco",use_fast=False,torch_dtype=torch.float16)
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llm_model = LlamaForCausalLM.from_pretrained("JosephusCheung/Guanaco",device_map="auto",torch_dtype=torch.float16)
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class LLMToCLIP(nn.Module):
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def __init__(self):
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super(LLMToCLIP, self).__init__()
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self.proj = nn.Linear(4096, 4096, bias=False)
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self.deproj = nn.Linear(4096, 768, bias=False)
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def forward(self, x):
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a = self.proj(x)
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b = self.deproj(a)
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return b
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llm_to_clip=LLMToCLIP()
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llm_to_clip.load_state_dict(torch.load("toclip.pth"))
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llm_embeddings = llm_model(input_ids=input_ids, output_hidden_states=True).hidden_states[-1]
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image = pipe(prompt_embeds=llm_to_clip(llm_embeddings)).images[0]
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```
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