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:
- bd43a7e61bb41124ec395c87d90d2b11f66e124446ff937af832a71c9f81364f
- Size of remote file:
- 3.44 GB
- SHA256:
- a76bab2b499a89d9d09aefae4c1eed36db66037d390bb5b54ce3a0993fcab1b2
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