Instructions to use keyingfan/MapGen_sd1.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use keyingfan/MapGen_sd1.5 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("keyingfan/MapGen_sd1.5", 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
- Xet hash:
- 54ca19bd61d6d1fe6321c79896d672c687fb995ddde16d8aedd0a9ac94cefe3a
- Size of remote file:
- 6.88 GB
- SHA256:
- d4d87154f9973ea2ba535c557f172a554bb16bd725e289f576f0174f849fe7a9
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