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:
- 8bb1ffa096f7e92e2f88ee61df8085c4b3dae3b9298ed19dcae5e8113b12d32e
- Size of remote file:
- 492 MB
- SHA256:
- a8f19d64918bdfe15da2ef3660b59cd8f63fc1ef9c5eec9d7b13cde0da6fb33a
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