Instructions to use InstantX/InstantIR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/InstantIR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/InstantIR", dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -42,7 +42,7 @@ hf_hub_download(repo_id="InstantX/InstantIR", filename="models/previewer_lora_we
|
|
| 42 |
### 3. Load InstantIR with 🧨 diffusers
|
| 43 |
|
| 44 |
```python
|
| 45 |
-
# !pip install opencv-python transformers accelerate
|
| 46 |
import torch
|
| 47 |
from PIL import Image
|
| 48 |
|
|
|
|
| 42 |
### 3. Load InstantIR with 🧨 diffusers
|
| 43 |
|
| 44 |
```python
|
| 45 |
+
# !pip install diffusers opencv-python transformers accelerate
|
| 46 |
import torch
|
| 47 |
from PIL import Image
|
| 48 |
|