Instructions to use GraydientPlatformAPI/dreamcometrue5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/dreamcometrue5 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/dreamcometrue5", 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:
- c69faee9ae26b1bffe782ae78a23565f20ac0b043f98b181a2d074729f3c7987
- Size of remote file:
- 1.39 GB
- SHA256:
- a7376ce8303d1f2806156e7456206fbc8fd6ea30c0da8ddfce8e5f9e3dc72da5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.