--- license: other license_name: flux-1-dev-non-commercial-license license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md language: - en tags: - flux - diffusers - lora - replicate base_model: "black-forest-labs/FLUX.1-dev" pipeline_tag: text-to-image instance_prompt: KUJI widget: - text: >- Cherry tree in the style of KUJI output: url: >- examples/1.JPG - text: >- Vibrant sunset. Effects and flares in the style of KUJI. output: url: >- examples/2.JPEG - text: >- View through car window looking out on the desert, light leak effect, scenery, blurry, flmft in the style of KUJI. output: url: >- examples/3.JPG - text: A mountain peak piercing through a sea of clouds at sunrise, with alpenglow on the summits, lens flare streaking across, flmft in the style of KUJI output: url: >- examples/4.JPG - text: Sunny day at the beach in the style of KUJI. output: url: >- examples/5.WEBP - text: >- Teenage bedroom with posters and clutter, warm color palette, flmft in the style of KUJI. output: url: >- examples/6.JPG - text: Mount fuji landscape in the style of KUJI. output: url: >- examples/7.JPG - text: A pier extending into a calm ocean, reflected in the water, with a sky full of cotton candy cirrocumulus clouds at sunset, dreamy double exposure effect, flmft in the style of KUJI output: url: >- examples/8.JPG - text: >- A lone tree on a hilltop, framed by a sky with layered lenticular clouds catching the last light of day, vignette effect, flmft in the style of KUJI output: url: >- examples/9.JPG --- # Flux Lora Kuji A Huji cam inspired lora finetuning of flux-koda. Works best with landscapes and naturalistic environments. In order to obtain better results, combine the keywords 'flmft' and 'in the style of KUJI'. Fun fact: training set was mostly made by images take by me 🤗. Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words Combine the keywords 'flmft' and 'in the style of KUJI' ## 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('ludocomito/flux-lora-kuji', weight_name='lora.safetensors') image = pipeline('your prompt').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)