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Merge pull request #1952 from AI-Casanova/kohya
Enable side loading of multiple Kohya-style LoRA for SDXL
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@@ -93,8 +93,8 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
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args['callback_steps'] = 1
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if 'callback' in possible:
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args['callback'] = diffusers_callback
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if 'cross_attention_kwargs' in possible and lora_state['active']:
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args['cross_attention_kwargs'] = { 'scale': lora_state['multiplier']}
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if 'cross_attention_kwargs' in possible and lora_state['active'] and shared.opts.diffusers_lora_loader == "Diffusers":
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args['cross_attention_kwargs'] = { 'scale': lora_state['multiplier'][0]}
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for arg in kwargs:
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if arg in possible:
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args[arg] = kwargs[arg]
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@@ -143,6 +143,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
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# parsed_prompt = [parse_prompt_attention(prompt) for prompt in prompts]
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if shared.state.interrupted or shared.state.skipped:
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unload_diffusers_lora()
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return results
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if shared.opts.diffusers_move_base and not shared.sd_model.has_accelerate:
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@@ -167,6 +168,7 @@ def process_diffusers(p: StableDiffusionProcessing, seeds, prompts, negative_pro
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output = shared.sd_model(**pipe_args) # pylint: disable=not-callable
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if shared.state.interrupted or shared.state.skipped:
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unload_diffusers_lora()
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return results
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if shared.sd_refiner is None or not p.enable_hr:
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