prithivMLmods
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Update README.md
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README.md
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@@ -27,6 +27,55 @@ license: creativeml-openrail-m
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Canopus-Walking-Dead-adp-LoRA
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## Trigger words
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You should use `Walking Dead` to trigger the image generation.
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Canopus-Walking-Dead-adp-LoRA
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Image Processing Parameters
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| Parameter | Value | Parameter | Value |
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|---------------------------|--------|---------------------------|--------|
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| LR Scheduler | constant | Noise Offset | 0.03 |
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| Optimizer | AdamW | Multires Noise Discount | 0.1 |
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| Network Dim | 64 | Multires Noise Iterations | 10 |
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| Network Alpha | 32 | Repeat | 20 |
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| Epoch | 10 | Save Every N Epochs | 1 |
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## SETTING-UP
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```py
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"-------------xxxxxxxxx----------",
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torch_dtype=torch.float16,
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use_safetensors=True,
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)
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(or)
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-----------------------------------------------------------
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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torch_dtype=torch.float16,
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use_safetensors=True,
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)
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.load_lora_weights("Canopus-Walking-Dead-adp-LoRA", weight_name="Canopus-Walking-Dead-adp-LoRA.safetensors", adapter_name="rlms")
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pipe.set_adapters("rlms")
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pipe.to("cuda")
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```
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## Trigger prompts
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A portrait of Daryl Dixon from the walking dead, action pose, blood stains, battle flames background, anime style, high resolution, <lora:walking_dead_offset:1>
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A photorealistic portrait of a post-apocalyptic Tino Asprilla, in a detailed digital painting with gritty textures, inspired by the Walking Dead franchise
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Zombie family on the cover of a horror novel,different cinematic scenes, walking dead
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| Parameter | Value |
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|-----------------|---------------------------------------------------------------------------------------|
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| Prompt | A portrait of Daryl Dixon from the walking dead, action pose, blood stains, battle flames background, anime style, high resolution, <lora:walking_dead_offset:1> |
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| Sampler | euler |
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## Trigger words
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You should use `Walking Dead` to trigger the image generation.
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