--- 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: NEOCUTE3D widget: - text: >- NEOCUTE3D of Picture a valiant knight in shining armor, mounted on a gallant steed, charging with a lance towards an opponent in a lively medieval fair setting output: url: images/knight.webp - text: >- NEOCUTE3D of a astronaut in a high-tech space suit stepping onto an alien landscape, proudly planting a flag as colorful alien flora surrounds them output: url: images/astronaut.webp - text: >- NEOCUTE3D of a street musician playing the violin with a colorful background output: url: images/violin.webp - text: >- NEOCUTE3D of a cyclist riding through a scenic mountain trail output: url: images/bike.webp - text: >- NEOCUTE3D of a ninja doing a high kick output: url: images/Ninja.webp - text: >- NEOCUTE3D of a a cute monster output: url: images/monster.webp --- Trigger word: `NEOCUTE3D` # Flux_Cute3D Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words You should use `NEOCUTE3D` to trigger the image generation. ## 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('SebastianBodza/flux_cute3D', 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)