Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,57 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-4.0
|
| 3 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-4.0
|
| 3 |
+
---
|
| 4 |
+

|
| 5 |
+
|
| 6 |
+
CosmicMan is a text-to-image foundation model specialized for generating high-fidelity human images. For more information, please refer to our research paper: [CosmicMan: A Text-to-Image Foundation Model for Humans](CosmicMan: A Text-to-Image Foundation Model for Humans). Our model is based on [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). This repository provide UNet checkpoints for CosmicMan-SDXL.
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
## Requirements
|
| 10 |
+
|
| 11 |
+
```python
|
| 12 |
+
conda create -n cosmicman python=3.10
|
| 13 |
+
source activate cosmicman
|
| 14 |
+
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
|
| 15 |
+
pip install accelerate diffusers datasets transformers botocore invisible-watermark bitsandbytes gradio
|
| 16 |
+
```
|
| 17 |
+
|
| 18 |
+
## Inference
|
| 19 |
+
|
| 20 |
+
```python
|
| 21 |
+
import torch
|
| 22 |
+
from diffusers import StableDiffusionXLPipeline, StableDiffusionXLImg2ImgPipeline, UNet2DConditionModel, EulerDiscreteScheduler
|
| 23 |
+
from huggingface_hub import hf_hub_download
|
| 24 |
+
from safetensors.torch import load_file
|
| 25 |
+
|
| 26 |
+
base_path = "stabilityai/stable-diffusion-xl-base-1.0"
|
| 27 |
+
refiner_path = "stabilityai/stable-diffusion-xl-refiner-1.0"
|
| 28 |
+
unet_path = "cosmicman/CosmicMan-SDXL"
|
| 29 |
+
|
| 30 |
+
# Load model.
|
| 31 |
+
unet = UNet2DConditionModel.from_pretrained(unet_path, torch_dtype=torch.float16)
|
| 32 |
+
pipe = StableDiffusionXLPipeline.from_pretrained(base_path, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
|
| 33 |
+
pipe.scheduler = EulerDiscreteScheduler.from_pretrained(base_path, subfolder="scheduler", torch_dtype=torch.float16)
|
| 34 |
+
|
| 35 |
+
refiner = StableDiffusionXLImg2ImgPipeline.from_pretrained(refiner_path,torch_dtype=torch.float16, use_safetensors=True).to("cuda")
|
| 36 |
+
refiner.scheduler = EulerDiscreteScheduler.from_pretrained(base_path, subfolder="scheduler", torch_dtype=torch.float16)
|
| 37 |
+
|
| 38 |
+
# Generate image.
|
| 39 |
+
positive_prompt = "A fit Caucasian elderly woman, her wavy white hair above shoulders, wears a pink floral cotton long-sleeve shirt and a cotton hat against a natural landscape in an upper body shot"
|
| 40 |
+
negative_prompt = ""
|
| 41 |
+
image = pipe(positive_prompt, num_inference_steps=30,
|
| 42 |
+
guidance_scale=7.5, height=1024,
|
| 43 |
+
width=1024, negative_prompt=negative_prompt, output_type="latent").images[0]
|
| 44 |
+
image = refiner(positive_prompt, negative_prompt=negative_prompt, image=image[None, :]).images[0].save("output.png")
|
| 45 |
+
```
|
| 46 |
+
|
| 47 |
+
|
| 48 |
+
## Citation Information
|
| 49 |
+
```
|
| 50 |
+
@article{li2024cosmicman,
|
| 51 |
+
title={CosmicMan: A Text-to-Image Foundation Model for Humans},
|
| 52 |
+
author={Li, Shikai and Fu, Jianglin and Liu, Kaiyuan and Wang, Wentao and Lin, Kwan-Yee and Wu, Wayne},
|
| 53 |
+
journal={arXiv preprint arXiv:2404.01294},
|
| 54 |
+
year={2024}
|
| 55 |
+
}
|
| 56 |
+
|
| 57 |
+
```
|