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
- style
- nostalgia
- game screenshot
- ps1 style
- console graphics
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ps1
widget:
- text: ' '
output:
url: 24439220.jpeg
- text: ' '
output:
url: 24440109.jpeg
PS1 Style Flux
Model description
works best when you include 'ps1 game screenshot' in prompt
late 90s/early 2000s ps1/n64 console graphics.
5000 steps
trained on 15 gpt4o captioned and adjusted ps1/n64 game screenshots using https://github.com/ostris/ai-toolkit/tree/main
Trigger words
You should use ps1
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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('veryVANYA/ps1-style-flux', weight_name='ps1_style_flux_v1.safetensors')
image = pipeline('`ps1`').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers