Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Illustration
Cartoon
Fantasy
Sci Fi
stable-diffusion
stable-diffusion-diffusers
s6yx
Instructions to use Yntec/ReVive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ReVive 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/ReVive", 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
- Xet hash:
- c94d868bd0f1596320e855fc374883a47406841507b17ce99dc770c20d9bca5d
- Size of remote file:
- 492 MB
- SHA256:
- cd811e38da235285e0b0c293cfeb79410974b1e5949fcd6aefcd300985ad784c
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