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https://github.com/modelscope/DiffSynth-Studio.git
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DiffSynth-Studio 2.0 major update
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@@ -1,5 +1,5 @@
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import torch
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from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
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from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
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pipe = FluxImagePipeline.from_pretrained(
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@@ -8,15 +8,13 @@ pipe = FluxImagePipeline.from_pretrained(
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model_configs=[
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/*.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
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ModelConfig(model_id="DiffSynth-Studio/LoRA-Encoder-FLUX.1-Dev", origin_file_pattern="model.safetensors"),
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],
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)
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pipe.enable_lora_magic()
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lora = ModelConfig(model_id="VoidOc/flux_animal_forest1", origin_file_pattern="20.safetensors")
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pipe.load_lora(pipe.dit, lora, hotload=True) # Use `pipe.clear_lora()` to drop the loaded LoRA.
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pipe.load_lora(pipe.dit, lora) # Use `pipe.clear_lora()` to drop the loaded LoRA.
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# Empty prompt can automatically activate LoRA capabilities.
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image = pipe(prompt="", seed=0, lora_encoder_inputs=lora)
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