Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Artistic
Fantasy
Scifi
DominoPrincip
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Remedy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Remedy 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/Remedy", 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 scheduler/scheduler_config.json
Verified signature309bb74 -
Update scheduler/scheduler_config.json
Verified signatured72b9ee -
Update scheduler/scheduler_config.json
Verified signatured803bf9 -
Update scheduler/scheduler_config.json
Verified signature624af13 -
Update scheduler/scheduler_config.json
Verified signatureb50e55e -
Update scheduler/scheduler_config.json
Verified signature90c0b63 -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (8d32b35a78a26d0d0ee7c3d5d98b8a9eb4402d18)ef765cb