--- 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](/veryVANYA/ps1-style-flux/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)