Instructions to use EnD-Diffusers/isometric-dreams with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/isometric-dreams with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/isometric-dreams", dtype=torch.bfloat16, device_map="cuda") prompt = "duskametrik" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 3b1e3e73d09b517b503bf1a446da286ff5c240ac1344731c724b91fe40806ddd
- Size of remote file:
- 1.36 GB
- SHA256:
- 729211e0839c9bc25f5e11f9630de4d6e9d7b977afef124b52a4aa397d942bc8
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