Text-to-Image
Diffusers
PyTorch
Chinese
English
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use tilake/China-Chic-illustration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tilake/China-Chic-illustration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tilake/China-Chic-illustration", dtype=torch.bfloat16, device_map="cuda") prompt = "a rabbit wearing sunglasses, in the style of <guo-chao> illustration, trending on artstation, masterpiece, best quality" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#5)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (ac0276036c3bb7e4144c75e0ef2929dc58d68644)d475cef
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Add `scale_factor` to vae config. (#2)
- Add `scale_factor` to vae config. (eb8fb9b29a4dc39ca13ff5dca32c1c7ca9c73835) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>4723019
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add gradio demo (#1)
- add gradio demo (4815b2afbe5b40fe80cd58f9aed00578977da86d) Co-authored-by: Ahsen Khaliq <akhaliq@users.noreply.huggingface.co>2f2a7b5
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