Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
3D
Cartoon
unvailai
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3DKX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3DKX 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/3DKX", 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
Commit History
-
Update README.md
a80fb8e -
Update model_index.json
86566d8 -
Update scheduler/scheduler_config.json
fc78301 -
Update scheduler/scheduler_config.json
7c06a4a -
Update model_index.json
0194674 -
Update scheduler/scheduler_config.json
50b6c37 -
Create README.md
f092c90 -
Upload model_index.json
d475662 -
Delete model_index.json
d67aa15 -
Delete safety_checker
98711b0 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (78a183707ba241def0fcde9728b8b38e3fcebf9d)acb4cc1 -
file
b1ca053 -
initial commit
9ca6e33