Instructions to use flax/midjourney-v4-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use flax/midjourney-v4-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("flax/midjourney-v4-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- c52a9083f9dbc2ace2ad2ab79a6001003b91f825b9217beb83219c4e9a5d30d9
- Size of remote file:
- 492 MB
- SHA256:
- 6cd3a30ba3f6204389ab50f556157da1f1ca8cc31d14d2426a6fbd29bb26a11c
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