Instructions to use stablediffusionapi/realisticvisionv6b1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/realisticvisionv6b1 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/realisticvisionv6b1", 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:
- 0f2635577dcf87fa4ffe4be4d69df30f72a1b4a4fea8aa7d0ddb49843007ca73
- Size of remote file:
- 335 MB
- SHA256:
- cff001d411424749c19dc2aa1bb480fffe7af0d65ea7abee007158fb3202e370
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