--- tags: - text-to-image - flux - lora - diffusers - template:sd-lora - ai-toolkit widget: - text: '[trigger] can on a sandy beach at sunset, surrounded by seashells and gentle ocean waves' output: url: samples/1726758363008__000002000_0.jpg - text: '[trigger] can floating in space with distant stars and planets in the background, illuminated by a soft cosmic glow' output: url: samples/1726758371844__000002000_1.jpg - text: '[trigger] can in a bustling urban street at night, reflecting the colorful neon signs of a busy cityscape' output: url: samples/1726758380677__000002000_2.jpg - text: '[trigger] can on a picnic blanket in a lush green park, with people relaxing and trees swaying in the breeze' output: url: samples/1726758389511__000002000_3.jpg - text: '[trigger] can half-buried in snow on a mountaintop, with a stunning view of the surrounding icy peaks and bright blue sky' output: url: samples/1726758398344__000002000_4.jpg - text: '[trigger] can on a desert dune, surrounded by endless sand and a hot, golden sunset casting long shadows' output: url: samples/1726758407181__000002000_5.jpg - text: '[trigger] can sitting on a wooden table in a cozy, candlelit cabin, with a fireplace crackling nearby' output: url: samples/1726758416018__000002000_6.jpg - text: '[trigger] can dropping into crystal-clear water, apple taste, commercial-style, the water should create dramatic splashes and bubbles, surrounding the can in all directions, capturing the moment of impact, high-resolution, colorful, (from above:1.2), photo by Gregory Colbert' output: url: samples/1726758424852__000002000_7.jpg - text: '[trigger] can, apple taste landscape photography, sunlit setting, waterfront, architectural columns, tropical plants, Eye-level shot, straight angle, centered subject, in a hidden paradise hidden behind a waterfall, realism, (wide angle view:1.3)' output: url: samples/1726758433689__000002000_8.jpg - text: '[trigger] can, apple taste, ice cold, standing in grass, outside, summer, portrait photography, Eye-level shot, centered subject, direct perspective, (front view:1.3), photo by Bruce Davidson' output: url: samples/1726758442524__000002000_9.jpg base_model: black-forest-labs/FLUX.1-schnell instance_prompt: n0apbc license: apache-2.0 --- # nocco_apple_v3 Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) ## Trigger words You should use `n0apbc` to trigger the image generation. ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. Weights for this model are available in Safetensors format. [Download](/Kvisten/nocco-apple-flux-v3/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-schnell', torch_dtype=torch.bfloat16).to('cuda') pipeline.load_lora_weights('Kvisten/nocco-apple-flux-v3', weight_name='nocco_apple_v3') image = pipeline('[trigger] can on a sandy beach at sunset, surrounded by seashells and gentle ocean waves').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)