Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
3D
aodai
Character
StableDiffusionVN
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3DCute with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3DCute 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/3DCute", 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:
- 31ef1b8611aa34df09c55aa611eafa3f02bb226149b1ba8a39f272549db72f1e
- Size of remote file:
- 492 MB
- SHA256:
- e16789d6142c66a7bd0d64d95486c6a0ed6f5e86f1c4c49f5908f3a823a3c7df
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