Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Art
Illustration
Cartoon
XpucT
s6yx
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Reanimate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Reanimate 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/Reanimate", 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:
- cfd348f3060b8d22138815b800628384aa3f62abd168b383e191cd29140b7832
- Size of remote file:
- 4.51 GB
- SHA256:
- 8afa798244a7a7756f2fb9d6c11437ed1b2b8919841e42776eedddf0a719a016
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