Add experimental image generation fields to /api/generate (#13753)

Request fields (experimental):
- width: image width (max 4096)
- height: image height (max 4096)
- steps: denoising steps
- seed: random seed

Response fields (experimental):
- images: base64-encoded generated images
- completed: current step progress
- total: total steps

Other changes:
- Fix lifecycle bug where image models wouldn't unload (refCount issue)
- Fix "headers already written" error on Ctrl+C during streaming
- Add gin middleware for OpenAI /v1/images/generations compatibility
- Update CLI to use /api/generate with progress bar
- Add preload support in interactive mode
This commit is contained in:
Jeffrey Morgan
2026-01-17 18:27:41 -08:00
committed by GitHub
parent 57de86cc61
commit 634c416645
17 changed files with 644 additions and 131 deletions

View File

@@ -275,6 +275,73 @@ curl -X POST http://localhost:11434/v1/chat/completions \
- [x] `dimensions`
- [ ] `user`
### `/v1/images/generations` (experimental)
> Note: This endpoint is experimental and may change or be removed in future versions.
Generate images using image generation models.
<CodeGroup dropdown>
```python images.py
from openai import OpenAI
client = OpenAI(
base_url='http://localhost:11434/v1/',
api_key='ollama', # required but ignored
)
response = client.images.generate(
model='x/z-image-turbo',
prompt='A cute robot learning to paint',
size='1024x1024',
response_format='b64_json',
)
print(response.data[0].b64_json[:50] + '...')
```
```javascript images.js
import OpenAI from "openai";
const openai = new OpenAI({
baseURL: "http://localhost:11434/v1/",
apiKey: "ollama", // required but ignored
});
const response = await openai.images.generate({
model: "x/z-image-turbo",
prompt: "A cute robot learning to paint",
size: "1024x1024",
response_format: "b64_json",
});
console.log(response.data[0].b64_json.slice(0, 50) + "...");
```
```shell images.sh
curl -X POST http://localhost:11434/v1/images/generations \
-H "Content-Type: application/json" \
-d '{
"model": "x/z-image-turbo",
"prompt": "A cute robot learning to paint",
"size": "1024x1024",
"response_format": "b64_json"
}'
```
</CodeGroup>
#### Supported request fields
- [x] `model`
- [x] `prompt`
- [x] `size` (e.g. "1024x1024")
- [x] `response_format` (only `b64_json` supported)
- [ ] `n`
- [ ] `quality`
- [ ] `style`
- [ ] `user`
### `/v1/responses`
> Note: Added in Ollama v0.13.3