Instructions to use float-trip/marsey-db-sd2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use float-trip/marsey-db-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-db-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:
- e10989f4e27f68753df690b72ab1d7cbc0d52dac05bfc29b46f34d5fe88d0906
- Size of remote file:
- 1.36 GB
- SHA256:
- db209aa758f8bee7c50055ea326885f0ba597df3646a2976b15f7e9aac4e3364
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