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  - lora
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  - diffusers
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  - template:diffusion-lora
 
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  widget:
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  - text: '-'
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  output:
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  <Gallery />
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  ## Trigger words
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  You should use `Purple Grid` to trigger the image generation.
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-
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  ## Download model
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  Weights for this model are available in Safetensors format.
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- [Download](/prithivMLmods/Purple-Grid-Flux-LoRA/tree/main) them in the Files & versions tab.
 
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  - lora
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  - diffusers
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  - template:diffusion-lora
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+ - Grid
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  widget:
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  - text: '-'
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  output:
 
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  <Gallery />
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+ - Hosted Here🧨: https://huggingface.co/spaces/prithivMLmods/FLUX-LoRA-DLC
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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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+
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+ **prithivMLmods/Purple-Grid-Flux-LoRA**
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+
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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 | 24 & 2750|
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+ | Epoch | 17 | Save Every N Epochs | 1 |
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+
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+ Labeling: florence2-en(natural language & English)
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+
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+ Total Images Used for Training : 14
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+
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+ ## Best Dimensions
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+
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+ - 1024 x 1024 (Default)
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+
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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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+
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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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+
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+ lora_repo = "prithivMLmods/Purple-Grid-Flux-LoRA"
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+ trigger_word = "Purple Grid"
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+ pipe.load_lora_weights(lora_repo)
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+
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+ device = torch.device("cuda")
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+ pipe.to(device)
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+ ```
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+ ## Data source
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+ - https://freeflo.ai/
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  ## Trigger words
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  You should use `Purple Grid` to trigger the image generation.
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  ## Download model
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  Weights for this model are available in Safetensors format.
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+ [Download](/prithivMLmods/Purple-Grid-Flux-LoRA/tree/main) them in the Files & versions tab.