Diffusers
Chinese
stable-diffusion
lora
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("svjack/pokemon-sd-lora-zh")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Model Card for svjack/pokemon-sd-lora-zh

Installation

pip install -U diffusers
pip install transformers

Usage

from diffusers import StableDiffusionPipeline
import torch

pipe = StableDiffusionPipeline.from_pretrained("IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Chinese-v0.1", torch_dtype=torch.float16)
model_path = "svjack/pokemon-sd-lora-zh"

pipe.unet.load_attn_procs(model_path)
pipe.to("cuda")
pipe.safety_checker = lambda images, clip_input: (images, False)
print("have_load")

prompt = "粉色的蝴蝶。"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image

prompt = "黄色的巨石机器人"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image

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Dataset used to train svjack/pokemon-sd-lora-zh