Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Fantasy
Artwork
Landscape
Hivemind111
Instructions to use Yntec/RadiantVibes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RadiantVibes with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/RadiantVibes", 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:
- e53aa842f6c07c2a7af8dafa8c14c9be08d6b6bb9aacab880cd15cb0aacc6999
- Size of remote file:
- 1.72 GB
- SHA256:
- 4572cfa333d8b1ade03a39534ef431dc69a9b075500cf4d9485ef70403f6a45b
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