Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
realistic
cinema
movies
AInfinity
Lykon
Instructions to use Yntec/Infinite80s with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Infinite80s 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/Infinite80s", 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
-
Adding `diffusers` weights of this model
This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/Infinite80s4ddd2fc -
file
2f451f8 -
Rename Infinite80s.ckpt to Infinite80sAlpha.ckpt
0b43baf -
file
332d4d6 -
file
7980e9c
-
Update README.md
d8f6337 -
Update text_encoder/config.json
e37eaaf -
Upload model_index.json
bebafef -
Delete safety_checker
d1d96e8 -
Adding `diffusers` weights of this model (#2)
- Adding `diffusers` weights of this model (25bb89b6266708fc44783ac7fa5c11b2e11c5ea5)c63405d -
file
a30e16f -
Update README.md
b5ce9e5 -
Create README.md
5192cc9 -
initial commit
197af94