Instructions to use Wannabeasmartguy/test2train_amine_face with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Wannabeasmartguy/test2train_amine_face with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wannabeasmartguy/test2train_amine_face", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Chilli boy commited on
Commit ·
6b8eef3
1
Parent(s): 5834ec6
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,11 @@ The training set uses [anime-faces](https://huggingface.co/datasets/huggan/anime
|
|
| 15 |
|
| 16 |
Generating multiple pictures at once is prone to broken face. It has been tested that one picture at a time produces the best results and is not prone to broken faces.
|
| 17 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
### Usage
|
| 19 |
|
| 20 |
```python
|
|
@@ -37,6 +42,10 @@ image
|
|
| 37 |
|
| 38 |
一次生成多张容易出现鬼脸。实测每次出一张图的效果最好,不容易出现鬼脸。
|
| 39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
### 模型使用
|
| 41 |
|
| 42 |
```python
|
|
|
|
| 15 |
|
| 16 |
Generating multiple pictures at once is prone to broken face. It has been tested that one picture at a time produces the best results and is not prone to broken faces.
|
| 17 |
|
| 18 |
+
|
| 19 |
+

|
| 20 |
+
|
| 21 |
+

|
| 22 |
+
|
| 23 |
### Usage
|
| 24 |
|
| 25 |
```python
|
|
|
|
| 42 |
|
| 43 |
一次生成多张容易出现鬼脸。实测每次出一张图的效果最好,不容易出现鬼脸。
|
| 44 |
|
| 45 |
+

|
| 46 |
+
|
| 47 |
+

|
| 48 |
+
|
| 49 |
### 模型使用
|
| 50 |
|
| 51 |
```python
|