metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- concept
- room
- dj
- boiler
- purz
- flux1.d
- boiler room
- live show
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: b0173r_r00m
widget:
- text: ' '
output:
url: 34768748.jpeg
- text: ' '
output:
url: 34769403.jpeg
- text: >-
b0173r_r00m, a man in a dinosaur suit djing, low angle, people dancing all
around
output:
url: 34768964.jpeg
- text: >-
b0173r_r00m, boiler room, mushroom kingdom, a woman wearing princess peach
cosplay playing a dj set at a boiler room nightclub. he is surrounded by a
group of people
output:
url: 34769061.jpeg
- text: >-
b0173r_r00m, man wearing super mario cosplay playing a dj set at a boiler
room nightclub. he is surrounded by a group of people
output:
url: 34769065.jpeg
Boiler Room
Model description
Boiler Room - LoRA (Flux.1 D)
Trained on photos of Boiler Room sets.
"b0173r_r00m, man wearing super mario cosplay playing a dj set at a boiler room nightclub. he is surrounded by a group of people"
Purz
Website: https://www.purz.xyz/
Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats
Patreon: https://www.patreon.com/Purz
Twitter/X: https://x.com/PurzBeats
Instagram: https://www.instagram.com/purzbeats/
Trigger words
You should use b0173r_r00m
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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Purz/boiler-room', weight_name='purz-b0173r_r00m-boiler-room.safetensors')
image = pipeline('b0173r_r00m, man wearing super mario cosplay playing a dj set at a boiler room nightclub. he is surrounded by a group of people').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers