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:
- 3c6fe71f43cc195444691d5e4c59480a25add9b13e5e421f7c3cff8d788cb8f0
- Size of remote file:
- 492 MB
- SHA256:
- ffa05cff52e890fd50203c8ac2d2c4d91ede0df70e9cf7136afca2d5164ad704
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