metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: '[trigger] holding a sign that says ''I am Jacob!'''
output:
url: samples/1733828839445__000003000_0.jpg
- text: >-
[trigger] with red hair, playing chess at the park, bomb going off in the
background
output:
url: samples/1733828876329__000003000_1.jpg
- text: '[trigger] holding a coffee cup, in a beanie, sitting at a cafe'
output:
url: samples/1733828913177__000003000_2.jpg
- text: >-
[trigger] is a DJ at a night club, fish eye lens, smoke machine, lazer
lights, holding a martini
output:
url: samples/1733828950036__000003000_3.jpg
- text: >-
[trigger] playing the guitar, on stage, singing a song, laser lights, punk
rocker
output:
url: samples/1733828986933__000003000_4.jpg
- text: >-
[trigger], in a post apocalyptic world, with a shotgun, in a leather
jacket, in a desert, with a motorcycle
output:
url: samples/1733829023852__000003000_5.jpg
- text: '[trigger], in 90s Japanese Anime style with beautiful city background'
output:
url: samples/1733829060821__000003000_6.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Jacob
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
jacob-image-test-flux
Model trained with AI Toolkit by Ostris
Trigger words
You should use Jacob
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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('JacobLinCool/jacob-image-test-x', weight_name='jacob-image-test-flux.safetensors')
image = pipeline('[trigger] holding a sign that says 'I am Jacob!'').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers