nocco-apple-flux-v7 / README.md
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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: a green aluminum can of 'NOCCO BCAA+ Apple' energy drink on a rock in a
foggy forest
output:
url: samples/1727207060662__000002500_0.jpg
- text: a green aluminum can of 'NOCCO BCAA+ Apple' energy drink can in a hand of
a person
output:
url: samples/1727207097408__000002500_1.jpg
- text: Green Nocco Apple Can on a sandy beach at sunset, surrounded by seashells
and gentle ocean waves
output:
url: samples/1727207134150__000002500_2.jpg
- text: Taylor swift holding a NOCCO BCAA+ Apple energy drink can
output:
url: samples/1727207170894__000002500_3.jpg
- text: Green Nocco Apple Can, green aluminum 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/1727207207631__000002500_4.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Green Nocco Apple Can
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
---
# nocco_apple_v6
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `Green Nocco Apple Can` 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-v7/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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('Kvisten/nocco-apple-flux-v7', weight_name='nocco_apple_v6.safetensors')
image = pipeline('a green aluminum can of 'NOCCO BCAA+ Apple' energy drink on a rock in a foggy forest').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)