Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Style
Photo
Easy
Photorealistic
Clothes
bigbeanboiler
Photographer
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/NextPhoton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/NextPhoton 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/NextPhoton", 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:
- 9e4476449d2270a139919db9649bc272de8558695fb5d274aafb2b02f35dfa7e
- Size of remote file:
- 335 MB
- SHA256:
- a5c0073c0a9d2d747e3b8b780e9c94612c72605e10e58bc464a6425632e8b865
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