Instructions to use float-trip/marsey-sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use float-trip/marsey-sd2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("float-trip/marsey-sd2", 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:
- 41c83900e214e951f35ee52776d8d95a5af0d256f6992829bdcd37f7aab652cd
- Size of remote file:
- 3.46 GB
- SHA256:
- 17f3f122be0684b1fec7e6797add3f0f0d801168ccc4be7e59739b147a35374f
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