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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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24380980.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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24385885.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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24384194.jpeg |
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- text: ' ' |
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output: |
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url: >- |
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24382058.jpeg |
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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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