Merge pull request #4 from sberbank-ai/feature/example

add examples

README.md

@@ -1,4 +1,59 @@
 # ruDALL-E
 ### Generate images from texts
 
+```
+pip install rudalle==0.0.1rc1
+```
+### Minimal Example:
 
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1wGE-046et27oHvNlBNPH07qrEQNE04PQ?usp=sharing)
+
+### generation by ruDALLE:
+```python
+from rudalle.pipelines import generate_images, show, super_resolution, cherry_pick_by_clip
+from rudalle import get_rudalle_model, get_tokenizer, get_vae, get_realesrgan, get_ruclip
+from rudalle.utils import seed_everything
+
+# prepare models
+device = 'cuda'
+dalle = get_rudalle_model('Malevich', pretrained=True, fp16=True, device=device)
+realesrgan = get_realesrgan('x4', device=device)
+tokenizer = get_tokenizer()
+vae = get_vae().to(device)
+ruclip, ruclip_processor = get_ruclip('ruclip-vit-base-patch32-v5')
+ruclip = ruclip.to(device)
+
+text = 'изображение радуги на фоне ночного города'
+
+seed_everything(42)
+pil_images = []
+scores = []
+for top_k, top_p, images_num in [
+    (2048, 0.995, 3),
+    (1536, 0.99, 3),
+    (1024, 0.99, 3),
+    (1024, 0.98, 3),
+    (512, 0.97, 3),
+    (384, 0.96, 3),
+    (256, 0.95, 3),
+    (128, 0.95, 3), 
+]:
+    _pil_images, _scores = generate_images(text, tokenizer, dalle, vae, top_k=top_k, images_num=images_num, top_p=top_p)
+    pil_images += _pil_images
+    scores += _scores
+
+show(pil_images, 6)
+```
+![](./pics/rainbow-full.png)
+### auto cherry-pick by ruCLIP:
+```python
+top_images, clip_scores = cherry_pick_by_clip(pil_images, text, ruclip, ruclip_processor, device=device, count=6)
+show(top_images, 3)
+```
+![](./pics/rainbow-cherry-pick.png)
+### super resolution:
+```python
+sr_images = super_resolution(top_images, realesrgan)
+show(sr_images, 3)
+```
+![](./pics/rainbow-super-resolution.png)