Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
General Purpose
Anime
Art
diffusionfanatic1173
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ZootVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ZootVision 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/ZootVision", 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
Verified signatureedef361 -
Create README.md
Verified signature5983e52 -
Update model_index.json
Verified signatureef31c88 -
Update scheduler/scheduler_config.json
Verified signatured0974cd -
Upload model_index.json
Verified signature79320dd -
Delete model_index.json
Verified signature7807193 -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (e4d7f9eb0428e05bdd9286805ee9fdaeae6418cd)9bef4de -
file
Verified signature7dc6cd9 -
initial commit
Verified signatured59e808