Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Noosphere
Dreamlike
Instructions to use Yntec/Photosphere with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Photosphere 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/Photosphere", 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:
- 26bcb99c3852d7554cc6c245400548a686db9228bbd26fe0af4a24c971dabb7d
- Size of remote file:
- 492 MB
- SHA256:
- 14aa7797d570a46b3850c78663584286d1973246a167344b1c21290aa1c8c63a
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