Instructions to use Kvikontent/midjourney-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kvikontent/midjourney-v6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kvikontent/midjourney-v6") prompt = "ed sheeran made of thnderstorm clouds, lights, thunder, rain, particles" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
About the 100K+ midjourney v6 datasets.
#1
by lyk0013 - opened
Hello, If I may ask, how did you collect so many datasets? Will you share it?
Hello, If I may ask, how did you collect so many datasets? Will you share it?
I used 106 images that i've generated in Midjourney and than i trained LoRA on them, yeah so easy
So it is! Thank you!
lyk0013 changed discussion status to closed