Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealism
Film
Retro
Simple prompts
22h
LEOSAM
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Vintage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Vintage 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/Vintage", 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 signature983daad
-
Update README.md
Verified signature1d6ee38
-
Update README.md
Verified signature6b11599 -
Update README.md
Verified signature6f35b66 -
Update model_index.json
Verified signatureb27645a -
Update scheduler/scheduler_config.json
Verified signature9b2a81c -
Create README.md
Verified signature9b9fa5c -
Update model_index.json
Verified signaturec4bcf5a -
Upload model_index.json
Verified signaturebb3a91d -
Delete model_index.json
Verified signatureab23f36 -
Update scheduler/scheduler_config.json
Verified signature0cb93e0 -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (77480a261c06882b66a494e5a7a915aa079a33be)b56a20a -
file
Verified signatured21089d -
initial commit
Verified signature9422005