File size: 1,219 Bytes
570fc47
 
 
 
c37869d
570fc47
c37869d
570fc47
c37869d
570fc47
c37869d
 
 
570fc47
c37869d
 
570fc47
c37869d
 
19ba817
c37869d
 
 
 
570fc47
c37869d
 
570fc47
c37869d
570fc47
c37869d
 
 
570fc47
c37869d
 
570fc47
 
c37869d
 
19ba817
c37869d
 
 
570fc47
 
19ba817
 
570fc47
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
46
47
48
49
50
---
library_name: diffusers
---

#### use ideogram-api to generate character using one input image 

Get your Ideogram API token from [here](https://developer.ideogram.ai/ideogram-api/api-overview)

Set it as the `IDEOGRAM_API_KEY` environment variable:

```py
from diffusers import ModularPipeline
from diffusers.utils import load_image

character_pipe = ModularPipeline.from_pretrained("diffusers-internal-dev/ideogram-character-generator", trust_remote_code=True)
print(character_pipe.doc)

image = character_pipe(
    prompt=(
        '''Youtube thumbnail of a women texting on iphone. Graphic overlay of text bubble "🤗"'''
    ),
    character_image=load_image("yiyi_3.jpg"),
    output="image"
)

image.save("yiyi_character.png")
```

#### use with Flux Kontext

```
from diffusers import FluxKontextPipeline
import torch

pipe = FluxKontextPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16)
pipe.to("cuda")


image = pipe(
  image=image,
  prompt='''change the text to "when is next diffusers release?"''',
  guidance_scale=1.5
).images[0]
```



![image/png](https://cdn-uploads.huggingface.co/production/uploads/624ef9ba9d608e459387b34e/KlPwOQZDAkkJrNEfEcMsv.png)