Instructions to use gabrieleai/gamindocar-2000-700 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gabrieleai/gamindocar-2000-700 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gabrieleai/gamindocar-2000-700", 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:
- 32c68fdcf6dfc4bfa0b16694a7070a473afe9c14de4c25d6a872f4e9798e38c3
- Size of remote file:
- 681 MB
- SHA256:
- 9707302cb075bc406aa8e024cee8df7b524c3003a067f1ef9e498ba82058c51c
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