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
|
@@ -26,7 +26,7 @@ base_model_relation: merge
|
|
| 26 |
|
| 27 |
# Shift
|
| 28 |
|
| 29 |
-
The reverse merge of https://huggingface.co/Yntec/Red including the Redshift Diffusion, Liberte Redmond and Shiny3D cartoon models.
|
| 30 |
|
| 31 |

|
| 32 |
|
|
|
|
| 26 |
|
| 27 |
# Shift
|
| 28 |
|
| 29 |
+
The reverse merge of https://huggingface.co/Yntec/Red including the Redshift Diffusion, Liberte Redmond and Shiny3D cartoon models. Showcase and prompts (all use seed 9119):
|
| 30 |
|
| 31 |

|
| 32 |
|