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:
- 3f93da916a6845ec37a144fb023d95af5a66123da3db623837b3dcdba1af0040
- Size of remote file:
- 492 MB
- SHA256:
- 0582555cfc5cf2c75d08507fb03a5d37c957574c3be072087e765a62bd6cd282
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