prithivMLmods
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README.md
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@@ -24,11 +24,60 @@ license: apache-2.0
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<Gallery />
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##
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## Download model
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<Gallery />
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**The model is still in the training phase. This is not the final version and may contain artifacts and perform poorly in some cases.**
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## Model description
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**prithivMLmods/Castor-Red-Dead-Redemption-2-Flux-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 & Steps | 22 & 2K |
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| Epoch | 12 | Save Every N Epochs | 1 |
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Labeling: florence2-en(natural language & English)
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Total Images Used for Training : 19
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## Setting Up
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```
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import torch
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from pipelines import DiffusionPipeline
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base_model = "black-forest-labs/FLUX.1-dev"
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
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lora_repo = "prithivMLmods/Castor-Red-Dead-Redemption-2-Flux-LoRA"
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trigger_word = "Red Dead Redemption 2" # Leave trigger_word blank if not used.
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pipe.load_lora_weights(lora_repo)
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device = torch.device("cuda")
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pipe.to(device)
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```
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## App File Structure
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/project-root/
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βββ .gitattributes
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βββ README.md
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βββ app.py
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βββ pythonproject.py
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# Best Dimensions
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- 512 X 512
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- 1024 X 1024
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- 768 X 1024
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## Trigger words π§¨
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> [!WARNING]
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> **Trigger words:** You should use `Red Dead Redemption 2` to trigger the image generation.
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## Download model
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