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Brain_Slug_FLUX.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a3ecd087ee4f895c23e1df66b05757685b6b190db6083872c8e657735b21227f
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size 19262160
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README.md
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---
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license: other
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license_name: bespoke-lora-trained-license
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license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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- migrated
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- character
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- futurama
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- brain slug
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- brainslug
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt:
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widget:
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- text: ' '
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output:
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url: >-
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output:
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url: >-
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- text: ' '
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output:
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url: >-
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- text: ' '
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output:
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url: >-
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---
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# Brain Slug [FLUX]
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<Gallery />
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([CivitAI](https://civitai.com/models/))
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## Model description
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<p>A failed-ish attempt to recreate my <a target="_blank" rel="ugc" href="https://civitai.com/models/125119/brain-slug-from-futurama">SD brain-slug LoRA</a>.</p><p>Seems like LoRA weight strength of at least 1.5 is needed to generate the intended Brain-Slug</p><p></p><p>"<a target="_blank" rel="ugc" href="https://futurama.fandom.com/wiki/Brain_Slug"><strong>Brain Slugs</strong></a> are a species of space parasite that attaches its jelly-like body to a victim's head and takes control of their brain. The specimen is lime in color and consists of a translucent jelly-like body complete with two feelers and one large eyeball. An adult brain slug is about the size of a fist."</p><p>I have made <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/Norod78/BrainSlug-blip-captions-1024">the training dataset available on Huggingface</a></p>
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/Norod78/brain-slug-flux/tree/main) them in the Files & versions tab.
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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('Norod78/brain-slug-flux', weight_name='Brain_Slug_FLUX.safetensors')
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image = pipeline('Your custom prompt').images[0]
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```
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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