Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
Cute
Mochi
McSionnaigh
XpucT
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Dedicated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Dedicated 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/Dedicated", 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
Commit History
-
Update README.md
Verified signaturedfd2b55 -
Update README.md
Verified signature3843bf5 -
Update README.md
Verified signatureb3645b7 -
Update README.md
Verified signature176c7ff -
Update README.md
Verified signaturec811ef2 -
Create README.md
Verified signaturef178252 -
Update scheduler/scheduler_config.json
Verified signatureda79ce3 -
Create model_index.json
Verified signature4377030 -
Delete model_index.json
Verified signature29cb8aa -
Update tokenizer/special_tokens_map.json
Verified signaturef5b8c2b -
Update tokenizer/tokenizer_config.json
Verified signature0db9f7f -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (b5a3ffc722ef08a0901053252fd3aceaf8512bc9)5ea745a -
file
Verified signature85bf986 -
initial commit
Verified signature0efbc24