Instructions to use GraydientPlatformAPI/relhCheckpoint_v40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/relhCheckpoint_v40 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/relhCheckpoint_v40", 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:
- 025bf93f19f23ace7b6fd675f4c832da096eecee7cbf30e64052f5cb3a49e521
- Size of remote file:
- 1.39 GB
- SHA256:
- d479dfcca3023706d2fa295d901ba5dc25f647c4c7679cbd2c1205b76a5e8ecc
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