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108 changes: 81 additions & 27 deletions
108
lib/src/features/drawer/infrastructure/api_services.dart
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,63 +1,117 @@ | ||
| import 'dart:convert'; | ||
|
|
||
| import 'package:http/http.dart' as http; | ||
| import 'package:liquid_art_ai/src/utils/snack_bar_messager.dart'; | ||
| import 'package:liquid_art_ai/src/utils/user_configurations.dart'; | ||
|
|
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| class DallE { | ||
| static final url = Uri.parse("https://api.openai.com/v1/images/generations"); | ||
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| static generateImage(context, String imagePrompt, String size, String apiKey) async{ | ||
| static generateImage( | ||
| context, String imagePrompt, String size, String apiKey) async { | ||
| final headers = { | ||
| "Content-Type": "application/json", | ||
| "Authorization": "Bearer $apiKey" | ||
| }; | ||
|
|
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| final body = jsonEncode( | ||
| { | ||
| "prompt": imagePrompt, | ||
| "n": 1, | ||
| "size": size | ||
| }, | ||
| {"prompt": imagePrompt, "n": 1, "size": size}, | ||
| ); | ||
|
|
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| var res = await http.post( | ||
| url, | ||
| headers: headers, | ||
| body: body, | ||
| ); | ||
|
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| var res = await http.post(url, headers: headers, body: body,); | ||
| print(res); | ||
| if(res.statusCode == 200){ | ||
| if (res.statusCode == 200) { | ||
| WarningSnackBar.apiCallSuccess(context); | ||
| var data = jsonDecode(res.body.toString()); | ||
| print(res); | ||
| return data['data'][0]['url'].toString(); | ||
| }else{ | ||
| } else { | ||
| WarningSnackBar.apiCallError(context, res.body.toString()); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| class StableDiffusion { | ||
| static generateImage(context ,String imagePrompt, String size, String ipAddressLocalMachine, String portLocalMachine) async{ | ||
| final url = Uri.parse("http://$ipAddressLocalMachine:$portLocalMachine/sdapi/v1/txt2img"); | ||
|
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| static generateImage(context, String imagePrompt, String size, | ||
| String ipAddressLocalMachine, String portLocalMachine) async { | ||
| final url = Uri.parse( | ||
| "http://$ipAddressLocalMachine:$portLocalMachine/sdapi/v1/txt2img"); | ||
|
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| final height = int.parse(size.split("x").first); | ||
| final width = int.parse(size.split("x").last); | ||
|
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| final body = jsonEncode( | ||
| { | ||
| "prompt": imagePrompt, | ||
| "width": width, | ||
| "height": height | ||
| } | ||
| ); | ||
| final body = | ||
| jsonEncode({"prompt": imagePrompt, "width": width, "height": height}); | ||
|
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||
| var res = await http.post(url, body: body,); | ||
| if(res.statusCode == 200){ | ||
| var res = await http.post( | ||
| url, | ||
| body: body, | ||
| ); | ||
| if (res.statusCode == 200) { | ||
| WarningSnackBar.apiCallSuccess(context); | ||
| var data = jsonDecode(res.body.toString()); | ||
| return data['images'][0].toString(); | ||
| }else{ | ||
| } else { | ||
| var data = jsonDecode(res.body.toString()); | ||
| WarningSnackBar.apiCallError(context, data.toString()); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| class Leap { | ||
| static generateImage(context, String imagePrompt, String size, String apiKey, String modelId) async { | ||
| final url = Uri.parse( | ||
| "https://api.tryleap.ai/api/v1/images/models/$modelId/inferences"); | ||
|
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| final height = int.parse(size.split("x").first); | ||
| final width = int.parse(size.split("x").last); | ||
|
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| final headers = { | ||
| "accept": "application/json", | ||
| "content-type": "application/json", | ||
| "authorization": "Bearer $apiKey" | ||
| }; | ||
|
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| final body = jsonEncode({ | ||
| "prompt": imagePrompt, | ||
| "steps": 50, | ||
| "width": width, | ||
| "height": height, | ||
| "numberOfImages": 1, | ||
| "promptStrength": 7, | ||
| "enhancePrompt": false, | ||
| "restoreFaces": true, | ||
| "upscaleBy": "x1" | ||
| }); | ||
|
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||
| var res = await http.post( | ||
| url, | ||
| headers: headers, | ||
| body: body, | ||
| ); | ||
| var data = jsonDecode(res.body.toString()); | ||
| var inferenceId = data["id"]; | ||
|
|
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| if (data['status'] == 'queued') { | ||
| WarningSnackBar.apiCallSuccess(context); | ||
|
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| final url = Uri.parse( | ||
| "https://api.tryleap.ai/api/v1/images/models/$modelId/inferences/$inferenceId"); | ||
|
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| var res = await http.get(url, headers: headers); | ||
| var data = jsonDecode(res.body.toString()); | ||
|
|
||
| while (data['state'].toString() != "finished") { | ||
| res = await http.get(url, headers: headers); | ||
| data = jsonDecode(res.body.toString()); | ||
| } | ||
|
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| var image = data["images"][0]['uri'].toString(); | ||
|
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| return image; | ||
| } else { | ||
| WarningSnackBar.apiCallError(context, data.toString()); | ||
| } | ||
| } | ||
| } | ||
| } |
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