Instructions to use timduck8/msv201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use timduck8/msv201 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("timduck8/msv201", 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:
- 79504dcac961919721d0ccef8c974a97ff20102b6a6853e1ad0af236475096f2
- Size of remote file:
- 246 MB
- SHA256:
- 0e1961db533ade459d5c8fd79f5ccef699d265e3f14e78c5f78dad49972d28e5
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