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
- Draw Things
- DiffusionBee
- Xet hash:
- 3870964bbe5074a3b7bc7f91cd466c1e710775cfd5bcaa21f62388fc38d547be
- Size of remote file:
- 492 MB
- SHA256:
- dbc81209d3f422c1bff569366666a93fafd625c5e38a2e42e081ec43ccb9dd2e
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