Guohua-Diffusion

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README(From Huggingface)

Guohua Diffusion

This is the fine-tuned Stable Diffusion model trained on traditional Chinese paintings.

Use guohua style in your prompts for the effect.

Sample Image

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How to use

WebUI

Download the guohua.ckpt in model files.

Diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.

#!pip install diffusers transformers scipy torch
from diffusers import StableDiffusionPipeline
import paddle

model_id = "Langboat/Guohua-Diffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, dtype=paddle.float16)
pipe = pipe

prompt = "The Godfather poster in guohua style"
image = pipe(prompt).images[0]

image.save("./the_god_father.png")

Model Files

• README.md (1.1 KB)

• feature_extractor/preprocessor_config.json (407.0 B)

• model_index.json (616.0 B)

• safety_checker/model_config.json (368.0 B)

• safety_checker/model_state.pdparams (1.1 GB)

• scheduler/scheduler_config.json (318.0 B)

• text_encoder/model_config.json (267.0 B)

• text_encoder/model_state.pdparams (469.5 MB)

• tokenizer/merges.txt (512.3 KB)

• tokenizer/special_tokens_map.json (389.0 B)

• tokenizer/tokenizer_config.json (766.0 B)

• tokenizer/vocab.json (1.0 MB)

• unet/config.json (1021.0 B)

• unet/model_state.pdparams (3.2 GB)

• vae/config.json (667.0 B)

• vae/model_state.pdparams (319.1 MB)

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