Instructions to use stablediffusionapi/hmreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/hmreal 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/hmreal", 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:
- 4662d233997f96e7fbbd0325afc28ed52d4eae94ddffa1610d3af4b07cead69b
- Size of remote file:
- 246 MB
- SHA256:
- 2793c3288943a943d74df94af653b2fce074647251b8ad42828cfd5610eb5f4f
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