Instructions to use KamCastle/amIreal44Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KamCastle/amIreal44Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KamCastle/amIreal44Diffusers", 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:
- 17bb85e2f474fce2816e63ea3ba70deac57c5fee7e98747d0992ef25bf1bc45b
- Size of remote file:
- 3.44 GB
- SHA256:
- 0e229dc47b0a51ca2459e27c941bc79c0118bcb4675e5a6763fcc6ad2f1bfd80
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