Instructions to use Kvikontent/midjourney-v7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kvikontent/midjourney-v7 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-v7") 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:
- e7ea0df7088bc3b7bfc75cd5dd482273b55bf68035daf4f71430b45e25325126
- Size of remote file:
- 19 MB
- SHA256:
- 38745cdbedb6dc0f5d21ffb21751ab0619ea554899b30adc62166063286457a6
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