Kvisten/nocco-apple-flux-v4

nocco_apple_v4

Model trained with AI Toolkit by Ostris

Prompt

[trigger] on a sandy beach at sunset, surrounded by seashells and gentle ocean waves

Prompt

[trigger] BCAA+ energy drink floating in space with distant stars and planets in the background, illuminated by a soft cosmic glow

Prompt

[trigger] metalic can, energy drink in a bustling urban street at night, reflecting the colorful neon signs of a busy cityscape

Prompt

[trigger] Nocco BCAA+ Apple on a picnic blanket in a lush green park, with people relaxing and trees swaying in the breeze

Prompt

[trigger] Nocco äpple half-buried in snow on a mountaintop, with a stunning view of the surrounding icy peaks and bright blue sky

Prompt

[trigger] can on a desert dune, surrounded by endless sand and a hot, golden sunset casting long shadows

Prompt

[trigger] BCAA+ sitting on a wooden table in a cozy, candlelit cabin, with a fireplace crackling nearby

Prompt

[trigger] äpple 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

Prompt

[trigger] green 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)

Prompt

[trigger] Nocco BCAA+, metalic green 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

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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-v4', weight_name='nocco_apple_v4.safetensors')
image = pipeline('[trigger] 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