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Parent(s): d3d1b30
Update README.md
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README.md
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@@ -3,12 +3,17 @@ license: creativeml-openrail-m
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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```
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pipeline = DiffusionPipeline.from_pretrained(
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"Andyrasika/lora_diffusion"
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,custom_pipeline = "lpw_stable_diffusion"
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,torch_dtype
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)
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lora = ("/content/lora_model.safetensors",0.8)
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pipeline = __load_lora(pipeline=pipeline,lora_path=lora[0],lora_weight=lora[1])
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library_name: diffusers
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pipeline_tag: text-to-image
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---
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The model is created using the following steps:
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- Find the desired model (checkpoit or lora) on Civitai
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- You can see some conversion scripts in diffusesrs. This time, only the scripts for converting checkpoit and lora are used.
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It depends on the model type of Civitai. If it is a lora model, you need to specify a basic model
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```
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pipeline = DiffusionPipeline.from_pretrained(
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"Andyrasika/lora_diffusion"
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,custom_pipeline = "lpw_stable_diffusion"
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,torch_dtype=torch.float16
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)
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lora = ("/content/lora_model.safetensors",0.8)
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pipeline = __load_lora(pipeline=pipeline,lora_path=lora[0],lora_weight=lora[1])
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