Instructions to use stablediffusionapi/majicmixrealisticv7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/majicmixrealisticv7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/majicmixrealisticv7", 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:
- 02bd378a726df56268ec94c0a72d4ac0e4078234a56aaf3d9699b9806d982d29
- Size of remote file:
- 492 MB
- SHA256:
- eadd90f07dfe3e2b6891979d8060387216610dc5374b5d7749ec069ee4f92817
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