--- base_model: - black-forest-labs/FLUX.1-dev library_name: diffusers tags: - template:diffusion-lora - flux.1-dev - diffusers - Text-to-Image - flux - lora - soulday - skulls pipeline_tag: text-to-image widget: - output: url: images/2.png text: >- soulday style, woman with red hair, playing chess at the park, parade in the background trigger: soulday style instance_prompt: soulday style license: other license_name: flux-1-dev-non-commercial-license --- ## About The "soulday style" is a LoRA created from the SoulDay inspired artwork. The style manifests itself in the output image via the trigger word in multiple objects: 1. **Faces** The human characters themselves have a particular style. 2. **Accessories** It can be seen in human accessories such as glasses, earrings, bracelets, pendants, etc. 3. **Clothing** The style is apparent in the clothing.
One can accentuate the style on a particular object by adding the trigger again before the object e.g. "soulday style shirt" ## SoulDay SoulDay ($SDY) is a collectible ethereum token project from GaleriaRodrigo.com
[Minted tokens](https://magiceden.us/collections/ethereum/0x5c6954f5df48035a6e339ef26f4167cb7e56d021)
[Minting tokens](https://soulday.io) ## Trigger words You should use `soulday style` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/galeriarodrigo/FLUX.1-dev-lora-soulday/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.bfloat16).to('cuda') pipeline.load_lora_weights('galeriarodrigo/FLUX.1-dev-lora-soulday', weight_name='souldaystyle.safetensors') image = pipeline('soulday style, woman with red hair, playing chess at the park, parade in the background').images[0] image.save("my_image.png") ``` 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)