--- 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: OTAKE widget: - text: >- A photo of a cartoon wolf OTAKE standing in a snowy winter scene, surrounded by softly falling snowflakes and frosted pine trees. The wolf is wearing a colorful parka with festive white patterns, a cozy red scarf, and a red Christmas hat with a fluffy white trim. OTAKE has a serious expression, gazing intently into the distance, with his orange fur contrasting against the snowy backdrop. The atmosphere is serene, capturing the chilly essence of Christmas day. example_title: Christmas Snow output: url: images/otake1.jpeg - text: >- A cartoon wolf OTAKE standing confidently on a cobblestone path with a spooky Halloween castle looming in the background. The wolf is wearing a dramatic black cape with jagged edges and a silver clasp, along with a dark orange vest adorned with subtle spiderweb patterns. A carved pumpkin with an eerie grin sits beside OTAKE on the ground. The wolf’s orange fur and serious expression are fully visible, illuminated by the soft glow of the moon overhead. Twisted trees and faint mist add to the chilling Halloween atmosphere. example_title: Halloween output: url: images/otake2.jpeg - text: >- A cartoon wolf OTAKE standing proudly in a vibrant Chinese New Year scene celebrating the Year of the Dragon. The wolf is dressed in a traditional red and gold Chinese jacket with intricate patterns, holding a glowing red lantern in one hand. Surrounding the wolf are festive decorations, including hanging red lanterns, gold ingots, and firecrackers. A majestic dragon dances in the background, its scales shimmering in shades of red and gold under the light of fireworks bursting in the night sky. The wolf’s orange fur and confident smile are fully visible, exuding a celebratory and festive vibe. example_title: Chinese Year of Dragon output: url: images/otake3.jpeg - text: >- A photo of a cartoon wolf OTAKE, sitting by a campfire roasting marshmallows. The wolf is wearing a green hoodie and has a relaxed, content expression. example_title: Campfire output: url: images/example_zkg8pbdty.png - text: >- A photo of a cartoon wolf OTAKE, holding an umbrella in a rainy city street. The orange wolf wears a navy blue trench coat and looks thoughtful. example_title: Rainy Day output: url: images/example_08ws8ls5l.png - text: >- A photo of a cartoon wolf OTAKE, leaping through the air with a basketball in hand. The orange wolf wears a red jersey and displays a determined expression. example_title: Basketball output: url: images/example_ccvco2fyt.png - text: >- A cartoon wolf OTAKE , advanced wolf scientist in a high-tech lab, wearing a sleek visor with data scrolling across it, carefully holding a test tube filled with glowing liquid, eyes focused intently, surrounded by futuristic monitors displaying strange extraterrestrial DNA sequences, sci-fi and enigmatic mood. The wolf’s orange fur and curious smile are fully visible. output: url: images/example_q301v85e7.png - text: >- A cartoon wolf OTAKE, wolf explorer with orange fur, wearing a small backpack, holding a high-tech scanner device, large blue eyes filled with curiosity, standing in an ancient jungle temple covered in glowing alien symbols, vines and mist surrounding the scene, mysterious and adventurous mood. output: url: images/example_1tbrx92l5.png --- # Flux Dev Otake Trained on Replicate using: https://replicate.com/ostris/flux-dev-lora-trainer/train ## Trigger words You should use `OTAKE` 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('tugan0329/flux-dev-otake', 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)