Instructions to use Angry-Wizard/map-training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Angry-Wizard/map-training with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Angry-Wizard/map-training", torch_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:
- ff985fea8e2e214f570c4fd51fe340dd4b3c20bc54a20a58ec70c822789b1cb0
- Size of remote file:
- 3.46 GB
- SHA256:
- 0b2f44e6e547c0a033aaf9c3903de3b5f9ab90b807ad26b9c35ed41c880c1b28
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