Instructions to use dimentox/heightmapstyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dimentox/heightmapstyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dimentox/heightmapstyle", 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:
- 63ae4f2dc14ba05738a10aebb15c5e6030bc96afe928a6c8da61a0b822f5d3fc
- Size of remote file:
- 492 MB
- SHA256:
- 4f78c63c9b072e6e1435e810cdf85466dd410578efcf589604cd59cca84e36d7
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