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
- Draw Things
- DiffusionBee
- Xet hash:
- d7947c00cab044219e2088d8ad08f428ca2d06ebb21a07ffbdb31aeacd97e9e1
- Size of remote file:
- 335 MB
- SHA256:
- 62c1ed1c03610fafa7102c7d89e224a6eb8a375968f60b91409f048b53e5b3f9
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