Instructions to use GraydientPlatformAPI/model_135k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/model_135k with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/model_135k", 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
- Draw Things
- DiffusionBee
- Xet hash:
- c9e8ef48fbc7cb57cd6af64af6679bc3a466dac67e5bd057b6a8d733ec4a0276
- Size of remote file:
- 492 MB
- SHA256:
- 696a1350af5a0363d62ace54d4be8428c1cdc625ff55966db24d92789357b634
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