Instructions to use monkseal555/diff150 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monkseal555/diff150 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/diff150", 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:
- ad0305c89c73450c95a7a761e4bcc720f230f290e79ba90df42c418829d10cdd
- Size of remote file:
- 3.18 GB
- SHA256:
- 267d61d4f1b112a8e82bee972506693ea8815d97b23f8aedad8283453052bf86
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