Recording studio
Model description
trained on around 17 images from midjourney of characters in studio.
This is meant to re-create the concept of recording in Studio.
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.
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
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Model tree for brushpenbob/recording-studio
Base model
runwayml/stable-diffusion-v1-5