recording-studio

Recording studio

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Model description

<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>

Trigger words

You should use recstudio, evang to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('brushpenbob/recording-studio', weight_name='Recording_studio.safetensors')
image = pipeline('` recstudio`, `evang`').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers