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:
- 84a23f31f46091a12f9c13cd3898f1065bd3daf2e6aa15192d5b7b728a4024dd
- Size of remote file:
- 492 MB
- SHA256:
- fb724fd44cb1ac258fb94fbaa32b6fe0e24463cb72db15cd7aa92f0ed96399e5
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