End of training
Browse files- README.md +5 -5
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- minecraft-items-sdxl-lora.safetensors +1 -1
- minecraft-items-sdxl-lora_emb.safetensors +1 -1
- pytorch_lora_weights.safetensors +1 -1
README.md
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- template:sd-lora
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pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
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image = pipeline('
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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url:
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output:
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url:
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"image_3.png"
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pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
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image = pipeline('<s0><s1> style, minecraft item,iron pot with wooden lid, white background').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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minecraft-items-sdxl-lora.safetensors
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minecraft-items-sdxl-lora_emb.safetensors
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pytorch_lora_weights.safetensors
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