Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Pixel art
Retro
Screenshot
Mega Drive
Gameplay
NostalgiaForever
DucHaiten
LostMedia
s6yx
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Genesis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Genesis 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/Genesis", 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 signature2d0ac9f -
Update README.md
Verified signatureb47846a -
Update README.md
Verified signatured2ef875
-
file
Verified signature125229d -
Update README.md
Verified signaturee324b1b -
Update README.md
Verified signaturec07d98b -
Update README.md
Verified signature8833a85 -
Create README.md
Verified signature4b8a348 -
Update model_index.json
Verified signature0eb4986 -
Upload model_index.json
Verified signature504331d -
Delete model_index.json
Verified signaturef424e56 -
Update scheduler/scheduler_config.json
Verified signatured45b79b -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (6036d0a73269291f478829af6983f8c7bedf7acf)44ac4aa -
file
Verified signatureb99b6ff -
file
Verified signature57cd228 -
initial commit
Verified signature4b7f922