Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Illustration
Midjourney
LONGD
s6yx
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3DRendering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3DRendering 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/3DRendering", 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:
- 3ae723981b2c3cbc544f8c2c967f2538210e5d56eaa7e0ce715db855b6802c2a
- Size of remote file:
- 246 MB
- SHA256:
- 43598ed88c4efb3f4aabcb4c00cf94b6252e8260c8006e4413f0e5c0bc19f997
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