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:
- ed1a938851854a5eac644dbe93589309beb041bc8a1ffc0ac97afd6c2a8d270c
- Size of remote file:
- 5.14 GB
- SHA256:
- 3db8d109b583b4fde7e0fae93c49a329d54f7547a3fb393f820f7c71a5c06070
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