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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- black-forest-labs/FLUX.1-dev |
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tags: |
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- lora |
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- flux |
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- diffusers |
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- image-generation |
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pipeline_tag: text-to-image |
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library_name: diffusers |
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instance_prompt: >- |
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PILLZAR style commercial marketing promo image featuring a "PILLZAR" brand |
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stackable medication dispenser with built-in magnet. |
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widget: |
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- text: >- |
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crisp PILLZAR style New Years and Holiday card featuring a Santa-color |
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Pillzar brand stackable 🌈 medication dispenser on a Christmas-themed |
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magnet board, and the text "HAPPY HOLIDAYS FROM PILLZAR!" |
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output: |
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url: images/example_e1zj17a3k.png |
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- text: >- |
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PILLZAR style Holiday commercial marketing of "PILLZAR" brand 💊 dispenser |
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magnetic system, "Pillzar" brand timer with single button and time alarm |
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screen, on a magnet board. |
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output: |
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url: images/example_2v3mqzcx8.png |
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--- |
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## PillZAR Style Generator Flux LoRA Var. II |
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## ___||||||||||||| By SilverAgePoets.com |||||||||||||___ |
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## ||||||||||||| Featuring: PILLZAR.com ||||||||||||| |
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<Gallery /> |
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## Trigger words |
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Prompt with `PILLZAR style commercial promo ad featuring a "PILLZAR" brand medication organizer system with stackable containers & a time-alarm component` or/and `PILLZAR style marketing brochure by "Pillzar"`.<br> |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda') |
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pipeline.load_lora_weights('AlekseyCalvin/Pillzar_Style_FluxLoRA_var2_BySilverAgePoets') |
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image = pipeline('your prompt').images[0] |
