Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
baar4
335m
multilingual
int8
webgpu
on-device
lightweight
Instructions to use aixk/BAAR4-IMG-335M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aixk/BAAR4-IMG-335M with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aixk/BAAR4-IMG-335M", dtype=torch.bfloat16, device_map="cuda") prompt = "아름다운 젊은 여성의 얼굴 초상화, 자연광, 선명한 초점, 8k, photorealistic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download projector_deep_clip_aligned_v2.pt from aixk/BAAR4-IMG-335M: direct link, hf CLI and curl.
- Browser
- Download file 20.1 MB
-
https://huggingface.co/aixk/BAAR4-IMG-335M/resolve/main/projector_deep_clip_aligned_v2.pt
- Command line
-
hf download hf://aixk/BAAR4-IMG-335M/projector_deep_clip_aligned_v2.pt
-
curl -L -o projector_deep_clip_aligned_v2.pt https://huggingface.co/aixk/BAAR4-IMG-335M/resolve/main/projector_deep_clip_aligned_v2.pt
20.1 MB
- Xet hash:
- c2f5562d5cbc80457888f410eeafad6da5ea43b70f2927f63da949b8095cb7a7
- Size of remote file:
- 20.1 MB
- SHA256:
- 9bf78e8a99f7e3810ef3118105f83da82a1fab04a064300a659415582c8d867c
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