Instructions to use lantianai/MidJourney_v4_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lantianai/MidJourney_v4_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lantianai/MidJourney_v4_Diffusers", 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 Settings
- Draw Things
- DiffusionBee
Commit History
-
Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (63c701d79908775113f798a2d23ecbb90cfe7b67)0e990b8
-
Upload diffusers weights
5aebc7c -
initial commit
a8170f3