Instructions to use jplumail/matthieu-v1-pipe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jplumail/matthieu-v1-pipe with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jplumail/matthieu-v1-pipe", 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:
- 66564f5f5a0b7e3b1424aae18b2c742d7f3c47836d24b66a074c74ae7e537971
- Size of remote file:
- 492 MB
- SHA256:
- 77d1e009539ea55c24747f299ae38c106ffc0b2d6fb6f008ee863238cde5f58a
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