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
Update README.md
Browse files
README.md
CHANGED
|
@@ -13,6 +13,7 @@ tags:
|
|
| 13 |
- PromptSharingSamaritan
|
| 14 |
- artificialguybr
|
| 15 |
- stable-diffusion
|
|
|
|
| 16 |
- stable-diffusion-diffusers
|
| 17 |
- text-to-image
|
| 18 |
- diffusers
|
|
|
|
| 13 |
- PromptSharingSamaritan
|
| 14 |
- artificialguybr
|
| 15 |
- stable-diffusion
|
| 16 |
+
- stable-diffusion-1.5
|
| 17 |
- stable-diffusion-diffusers
|
| 18 |
- text-to-image
|
| 19 |
- diffusers
|