Instructions to use JAWCF/horizontal-maps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JAWCF/horizontal-maps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JAWCF/horizontal-maps", 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:
- 38f2cdc068b5b02f022d3f2cb9d6c4e746bd17477787aae76269cc1a3349e285
- Size of remote file:
- 3.44 GB
- SHA256:
- 2476a1aac04414b0f681b7e3aac1f3a503fa7a1f028ff12e3c7715e4729c251f
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