Instructions to use GraydientPlatformAPI/nalgoticDreamsv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/nalgoticDreamsv2 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/nalgoticDreamsv2", 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:
- 4469db2fea8ba9fd6071ff948991cba373312beacd66da91b191e5b162c35e21
- Size of remote file:
- 1.39 GB
- SHA256:
- 3a58cf420cc3e0d9d976bcf911749539133f630bbff6309dd7b86304006a19ca
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