Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General purpose
Photorealistic
3D artworks
Anime
Pixar
CGI
nitrosocke
PromptSharingSamaritan
artificialguybr
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Shift with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Shift 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/Shift", 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:
- 5d3a58fa939d0c8e1a4bd065d3ba8f5dd0cb03f42404665a96ec29e0719edc25
- Size of remote file:
- 3.44 GB
- SHA256:
- b81b0c3292a8a4f0b18fc634893e41c9c1f7aa40f332cf309e1016ebaac94105
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