Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Zovya
Instructions to use Yntec/a-ZovyaRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/a-ZovyaRemix 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/a-ZovyaRemix", 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
Download vae/diffusion_pytorch_model.bin from Yntec/a-ZovyaRemix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/a-ZovyaRemix/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Yntec/a-ZovyaRemix/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Yntec/a-ZovyaRemix/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- ed996f7c14b8e18897dd607497159ff364a216c15e41016881cfa6f6c9d74e69
- Size of remote file:
- 335 MB
- SHA256:
- 3402bba7a76e121522f45f3ad522498937d8c664348801eb52021e26ba38091b
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