Instructions to use monkseal555/Diff2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monkseal555/Diff2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monkseal555/Diff2", 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
- Xet hash:
- 242c0ea6f0eb43b3b9c7a58ac16d2b7ceaa70d3b23052068de89e0fe028362b2
- Size of remote file:
- 563 Bytes
- SHA256:
- 4a7705e52ba8d83dfd59e6727406d4612cf570b4ce869a22e720d656930f686a
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