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 text_encoder/pytorch_model.bin from Yntec/a-ZovyaRemix: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/a-ZovyaRemix/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Yntec/a-ZovyaRemix/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Yntec/a-ZovyaRemix/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- aae79d2301862831655f3a51eaec9ed727c94faff008b13eb78bb0fc3f2ef8ee
- Size of remote file:
- 492 MB
- SHA256:
- 0fd1af0aac331a1cd999153202cdbab2132ff655efc9c758464eac1caf99c5ef
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