Instructions to use Fred99774/valendra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/valendra with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fred99774/valendra", 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:
- b1ce41f739fad9025ff94ad527079d62138a9cdac275c2bbdec4544d9b9d80a0
- Size of remote file:
- 246 MB
- SHA256:
- 0abfbb8a701f1e640469f51d2cfc6a3f7dc54722494b01810603bc9018611eba
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