Instructions to use misri/cyberrealistic_v41BackToBasics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use misri/cyberrealistic_v41BackToBasics with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("misri/cyberrealistic_v41BackToBasics", 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
- Xet hash:
- 1839381004f55218049d843f0f70e89a1c0a9b1e824b19796e7516da169ba768
- Size of remote file:
- 246 MB
- SHA256:
- d1c60065334d1eae0751eb8e2e911358d14f6dd1e58323271a7e62b9e49f26c8
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