Text-to-Image
Diffusers
PyTorch
Safetensors
StableDiffusionPipeline
clip
stable diffusion
comics
text to image
Instructions to use rowenac/vintagechinesecomics with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rowenac/vintagechinesecomics with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("rowenac/vintagechinesecomics", 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 react app/api/auth_token.py from rowenac/vintagechinesecomics: direct link, hf CLI and curl.
- Browser
- Download file 52 Bytes
-
https://huggingface.co/rowenac/vintagechinesecomics/resolve/main/react%20app/api/auth_token.py
- Command line
-
hf download 'hf://rowenac/vintagechinesecomics/react app/api/auth_token.py'
-
curl -L -o auth_token.py https://huggingface.co/rowenac/vintagechinesecomics/resolve/main/react%20app/api/auth_token.py
52 Bytes
| auth_token = "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" |