File size: 1,162 Bytes
64c3a60 c88cfa1 64c3a60 c88cfa1 28c6b99 c88cfa1 5a98f33 c88cfa1 5a98f33 c88cfa1 b3c82f4 5a98f33 b3c82f4 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
---
license: apache-2.0
datasets:
- svjack/pokemon-blip-captions-en-zh
language:
- zh
library_name: diffusers
tags:
- stable-diffusion
- lora
---
# Model Card for souljoy/sd-pokemon-model-lora-zh
## Installation
```bash
pip install -U diffusers
pip install transformers
```
## Usage
```python
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained("IDEA-CCNL/Taiyi-Stable-Diffusion-1B-Anime-Chinese-v0.1", torch_dtype=torch.float16)
model_path = "souljoy/sd-pokemon-model-lora-zh"
pipe.unet.load_attn_procs(model_path)
pipe.to("cuda")
prompt = "粉色的蝴蝶"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image
prompt = "可爱的狗"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image
prompt = "漂亮的猫"
image = pipe(prompt, num_inference_steps=50, guidance_scale=7.5).images[0]
image
```


 |