brushpenbob
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- README.md +78 -0
- Recording_studio.safetensors +3 -0
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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=False&allowCommercialUse=RentCivit&allowDerivatives=False&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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- concept
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- studio
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- recording
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- gold teeth
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- rapping
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: recstudio
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widget:
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- text: ' '
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output:
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url: >-
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url: >-
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output:
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url: >-
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---
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# Recording studio
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<Gallery />
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## Model description
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<p>trained on around 17 images from midjourney of characters in studio.</p><p> This is meant to re-create the concept of recording in Studio. </p><p></p><p>In the training data, there was a lot of emphasis on smoky rooms, gold chains, gold teeth, etc. so you may want to implement those in your promise. It could be a bit heavy handed so I don't know if I would have the weighting set to high try at a lower value around 6 first and work your way up.</p>
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## Trigger words
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You should use ` recstudio`, `evang` 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](/brushpenbob/recording-studio/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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('brushpenbob/recording-studio', weight_name='Recording_studio.safetensors')
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image = pipeline('` recstudio`, `evang`').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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version https://git-lfs.github.com/spec/v1
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oid sha256:7fdb935cb57c16fdf42367d67555d2734b8273beba68e071707734d530f7ad16
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size 37870928
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