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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0340be7349064602d13d8430dbf04f303a8c2653a991110535e3991cbeea4763
- Size of remote file:
- 19 MB
- SHA256:
- 0bb503b8e9160e5c2218eb848327e066b76d28150c570ec15105e320ec859c97
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.