Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
anime
style
BDZ888
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Abased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Abased 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/Abased", 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/model.safetensors from Yntec/Abased: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/Yntec/Abased/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://Yntec/Abased/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Yntec/Abased/resolve/main/text_encoder/model.safetensors
492 MB
- Xet hash:
- 724d59a73b187aedb4863a5718a95288d1c50ad0abc5321c2e94e6cfda25e149
- Size of remote file:
- 492 MB
- SHA256:
- 74e92e3a7cce1ce411924bcf38ddfb51b3d4c8064caf0168ebd37f4d2008af38
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