Update models list

g4f/Provider/DeepInfraChat.py

@@ -1,8 +1,9 @@
 from __future__ import annotations
 
-import random
+import requests
 from .template import OpenaiTemplate
 from ..errors import ModelNotFoundError
+from ..config import DEFAULT_MODEL
 from .. import debug
 
 
@@ -14,74 +15,34 @@ class DeepInfraChat(OpenaiTemplate):
     api_endpoint = "https://api.deepinfra.com/v1/openai/chat/completions"
     working = True
 
-    default_model = 'deepseek-ai/DeepSeek-V3-0324'
+    default_model = DEFAULT_MODEL
-    default_vision_model = 'microsoft/Phi-4-multimodal-instruct'
+    default_vision_model = DEFAULT_MODEL
     vision_models = [
         default_vision_model,
-        'meta-llama/Llama-3.2-90B-Vision-Instruct'
+        'meta-llama/Llama-3.2-90B-Vision-Instruct',
+        'openai/gpt-oss-120b',
+        'openai/gpt-oss-20b',
     ]
-    models = [
-        # cognitivecomputations
-        'cognitivecomputations/dolphin-2.6-mixtral-8x7b',
-        'cognitivecomputations/dolphin-2.9.1-llama-3-70b',
 
-        # deepinfra
+    @classmethod
-        'deepinfra/airoboros-70b',
+    def get_models(cls, **kwargs):
+        if not cls.models:
+            url = 'https://api.deepinfra.com/models/featured'
+            response = requests.get(url)
+            models = response.json()
+            
+            cls.models = []
+            cls.image_models = []
+            
+            for model in models:
+                if model["type"] == "text-generation":
+                    cls.models.append(model['model_name'])
+                elif model["reported_type"] == "text-to-image":
+                    cls.image_models.append(model['model_name'])
+            
+            cls.models.extend(cls.image_models)
 
-        # deepseek-ai
+        return cls.models
-        default_model,
-        'deepseek-ai/DeepSeek-V3-0324-Turbo',
-
-        'deepseek-ai/DeepSeek-R1-0528-Turbo',
-        'deepseek-ai/DeepSeek-R1-0528',
-        
-        'deepseek-ai/DeepSeek-Prover-V2-671B',
-        
-        'deepseek-ai/DeepSeek-V3',
-        
-        'deepseek-ai/DeepSeek-R1',
-        'deepseek-ai/DeepSeek-R1-Turbo',
-        'deepseek-ai/DeepSeek-R1-Distill-Llama-70B',
-        'deepseek-ai/DeepSeek-R1-Distill-Qwen-32B',
-
-        # google (gemma)
-        'google/gemma-1.1-7b-it',
-        'google/gemma-2-9b-it',
-        'google/gemma-2-27b-it',
-        'google/gemma-3-4b-it',
-        'google/gemma-3-12b-it',
-        'google/gemma-3-27b-it',
-        
-        # google (codegemma)
-        'google/codegemma-7b-it',
-
-        # lizpreciatior
-        'lizpreciatior/lzlv_70b_fp16_hf',
-
-        # meta-llama
-        'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8',
-        'meta-llama/Llama-4-Scout-17B-16E-Instruct',
-        'meta-llama/Meta-Llama-3.1-8B-Instruct',
-        'meta-llama/Llama-3.3-70B-Instruct-Turbo',
-        'meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo',
-
-        # microsoft 
-        'microsoft/phi-4-reasoning-plus',
-        'microsoft/phi-4',  
-              
-        'microsoft/WizardLM-2-8x22B',
-        'microsoft/WizardLM-2-7B',
-
-        # mistralai
-        'mistralai/Mistral-Small-3.1-24B-Instruct-2503',
-
-        # Qwen
-        'Qwen/Qwen3-235B-A22B',
-        'Qwen/Qwen3-30B-A3B',
-        'Qwen/Qwen3-32B',
-        'Qwen/Qwen3-14B',
-        'Qwen/QwQ-32B',
-    ] + vision_models
 
     model_aliases = {
         # cognitivecomputations

g4f/Provider/GptOss.py

@@ -4,6 +4,7 @@ from __future__ import annotations
 from ..typing import AsyncResult, Messages
 from ..providers.response import JsonConversation, Reasoning, TitleGeneration
 from ..requests import StreamSession, raise_for_status
+from ..config import DEFAULT_MODEL
 from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from .helper import get_last_user_message
 
@@ -16,6 +17,9 @@ class GptOss(AsyncGeneratorProvider, ProviderModelMixin):
     
     default_model = "gpt-oss-120b"
     models = [default_model, "gpt-oss-20b"]
+    model_aliases = {
+        DEFAULT_MODEL: default_model,
+    }
 
     @classmethod
     async def create_async_generator(
@@ -27,8 +31,7 @@ class GptOss(AsyncGeneratorProvider, ProviderModelMixin):
         proxy: str = None,
         **kwargs
     ) -> AsyncResult:
-        if not model:
+        model = cls.get_model(model)
-            model = cls.default_model
         user_message = get_last_user_message(messages)
         cookies = {}
         if conversation is None:

g4f/Provider/LegacyLMArena.py

@@ -17,7 +17,7 @@ from ..errors import ModelNotFoundError, ResponseError
 from .. import debug
 
 class LegacyLMArena(AsyncGeneratorProvider, ProviderModelMixin):
-    label = "Legacy LM Arena"
+    label = "LMArena (Legacy)"
     url = "https://legacy.lmarena.ai"
     api_endpoint = "/queue/join?"
     

g4f/Provider/PollinationsAI.py

@@ -113,6 +113,7 @@ class PollinationsAI(AsyncGeneratorProvider, ProviderModelMixin):
         "flux-schnell": "flux",
         "flux-pro": "flux",
         "flux": "flux",
+        "flux-kontext": "kontext",
     }
     swap_models = {value: key for key, value in model_aliases.items()}
 

g4f/Provider/needs_auth/Azure.py

@@ -22,6 +22,9 @@ class Azure(OpenaiTemplate):
     audio_models = ["gpt-4o-mini-audio-preview"]
     vision_models = ["gpt-4.1", "o4-mini", "model-router", "flux.1-kontext-pro"]
     image_models = ["flux-1.1-pro", "flux.1-kontext-pro"]
+    model_aliases = {
+        "flux-kontext": "flux-1-kontext-pro"
+    }
     model_extra_body = {
         "gpt-4o-mini-audio-preview": {
             "audio": {
@@ -66,6 +69,8 @@ class Azure(OpenaiTemplate):
     ) -> AsyncResult:
         if not model:
             model = os.environ.get("AZURE_DEFAULT_MODEL", cls.default_model)
+        if model in cls.model_aliases:
+            model = cls.model_aliases[model]
         if not api_endpoint:
             if not cls.routes:
                 cls.get_models()

g4f/Provider/needs_auth/DeepInfra.py

@@ -1,9 +1,9 @@
 from __future__ import annotations
 
-import requests
 from ...typing import AsyncResult, Messages
 from ...requests import StreamSession, raise_for_status
 from ...providers.response import ImageResponse
+from ...config import DEFAULT_MODEL
 from ..template import OpenaiTemplate
 from ..DeepInfraChat import DeepInfraChat
 from ..helper import format_media_prompt
@@ -14,28 +14,15 @@ class DeepInfra(OpenaiTemplate):
     api_base = "https://api.deepinfra.com/v1/openai"
     working = True
     active_by_default = True
-    default_model = "meta-llama/Meta-Llama-3.1-70B-Instruct"
+    default_model = DEFAULT_MODEL
-    default_image_model = "stabilityai/sd3.5"
+    vision_models = DeepInfraChat.vision_models
     model_aliases = DeepInfraChat.model_aliases
 
     @classmethod
     def get_models(cls, **kwargs):
         if not cls.models:
-            url = 'https://api.deepinfra.com/models/featured'
+            cls.models = DeepInfraChat.get_models()
-            response = requests.get(url)
+            cls.image_models = DeepInfraChat.image_models
-            models = response.json()
-            
-            cls.models = []
-            cls.image_models = []
-            
-            for model in models:
-                if model["type"] == "text-generation":
-                    cls.models.append(model['model_name'])
-                elif model["reported_type"] == "text-to-image":
-                    cls.image_models.append(model['model_name'])
-            
-            cls.models.extend(cls.image_models)
-
         return cls.models
 
     @classmethod

g4f/Provider/needs_auth/GeminiCLI.py

@@ -497,7 +497,7 @@ class GeminiCLI(AsyncGeneratorProvider, ProviderModelMixin):
     login_url = "https://github.com/GewoonJaap/gemini-cli-openai"
 
     default_model = "gemini-2.5-pro"
-    fallback_models = [
+    models = [
         "gemini-2.5-pro",
         "gemini-2.5-flash",
     ]

g4f/Provider/needs_auth/Groq.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 from ..template import OpenaiTemplate
+from ...config import DEFAULT_MODEL
 
 class Groq(OpenaiTemplate):
     url = "https://console.groq.com/playground"
@@ -9,7 +10,7 @@ class Groq(OpenaiTemplate):
     working = True
     needs_auth = True
     active_by_default = True
-    default_model = "mixtral-8x7b-32768"
+    default_model = DEFAULT_MODEL
     fallback_models = [
         "distil-whisper-large-v3-en",
         "gemma2-9b-it",
@@ -30,4 +31,8 @@ class Groq(OpenaiTemplate):
         "whisper-large-v3",
         "whisper-large-v3-turbo",
     ]
-    model_aliases = {"mixtral-8x7b": "mixtral-8x7b-32768", "llama2-70b": "llama2-70b-4096"}
+    model_aliases = {
+        "mixtral-8x7b": "mixtral-8x7b-32768",
+        "llama2-70b": "llama2-70b-4096",
+        "moonshotai/Kimi-K2-Instruct": "moonshotai/kimi-k2-Instruct"
+    }   

g4f/Provider/needs_auth/LMArenaBeta.py

@@ -126,6 +126,9 @@ class LMArenaBeta(AsyncGeneratorProvider, ProviderModelMixin, AuthFileMixin):
 
     default_model = list(text_models.keys())[0]
     models = list(text_models) + list(image_models)
+    model_aliases = {
+        "flux-kontext": "flux-1-kontext-pro",
+    }
     image_models = list(image_models)
     vision_models = vision_models
 
@@ -162,6 +165,8 @@ class LMArenaBeta(AsyncGeneratorProvider, ProviderModelMixin, AuthFileMixin):
         is_image_model = model in image_models
         if not model:
             model = cls.default_model
+        if model in cls.model_aliases:
+            model = cls.model_aliases[model]
         if model in image_models:
             model = image_models[model]
         elif model in text_models:

g4f/Provider/needs_auth/OpenRouter.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 from ..template import OpenaiTemplate
+from ...config import DEFAULT_MODEL
 
 class OpenRouter(OpenaiTemplate):
     label = "OpenRouter"
@@ -9,4 +10,5 @@ class OpenRouter(OpenaiTemplate):
     api_base = "https://openrouter.ai/api/v1"
     working = True
     needs_auth = True
-    active_by_default = True
+    active_by_default = True
+    default_model = DEFAULT_MODEL

g4f/Provider/needs_auth/Together.py

@@ -1,11 +1,8 @@
 from __future__ import annotations
 
-import requests
-from typing import Union
 
-from ...typing import AsyncResult, Messages, MediaListType
 from ..template import OpenaiTemplate
-from ...requests import StreamSession, raise_for_status
+from ...config import DEFAULT_MODEL
 from ...errors import ModelNotFoundError
 from ... import debug
 
@@ -23,17 +20,18 @@ class Together(OpenaiTemplate):
     supports_system_message = True
     supports_message_history = True
 
-    default_model = 'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8'
+    default_model = DEFAULT_MODEL
     default_vision_model = default_model
     default_image_model = 'black-forest-labs/FLUX.1.1-pro'
     vision_models = [
+        default_vision_model,
         'Qwen/Qwen2-VL-72B-Instruct',
         'Qwen/Qwen2.5-VL-72B-Instruct',
         'arcee-ai/virtuoso-medium-v2',
         'arcee_ai/arcee-spotlight',
         'meta-llama/Llama-3.2-11B-Vision-Instruct-Turbo',
         'meta-llama/Llama-3.2-90B-Vision-Instruct-Turbo',
-        default_vision_model,
+        'meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8',
         'meta-llama/Llama-4-Scout-17B-16E-Instruct',
         'meta-llama/Llama-Vision-Free',
     ]

g4f/Provider/needs_auth/hf/models.py

@@ -1,4 +1,6 @@
-default_model = "openai/gpt-oss-120b"
+from ....config import DEFAULT_MODEL
+
+default_model = DEFAULT_MODEL
 default_image_model = "black-forest-labs/FLUX.1-dev"
 image_models = [    
     default_image_model,

g4f/Provider/template/OpenaiTemplate.py

@@ -10,6 +10,7 @@ from ...image import use_aspect_ratio
 from ...image.copy_images import save_response_media
 from ...providers.response import FinishReason, ToolCalls, Usage, ImageResponse, ProviderInfo, AudioResponse, Reasoning
 from ...tools.media import render_messages
+from ...tools.run_tools import AuthManager
 from ...errors import MissingAuthError
 from ... import debug
 
@@ -33,16 +34,18 @@ class OpenaiTemplate(AsyncGeneratorProvider, ProviderModelMixin, RaiseErrorMixin
                     api_base = cls.api_base
                 if api_key is None and cls.api_key is not None:
                     api_key = cls.api_key
+                if not api_key:
+                    api_key = AuthManager.load_api_key(cls)
                 if api_key is not None:
                     headers["authorization"] = f"Bearer {api_key}"
                 response = requests.get(f"{api_base}/models", headers=headers, verify=cls.ssl)
                 raise_for_status(response)
                 data = response.json()
                 data = data.get("data") if isinstance(data, dict) else data
-                cls.image_models = [model.get("id") for model in data if model.get("image")]
+                cls.image_models = [model.get("id", model.get("name")) for model in data if model.get("image")]
                 cls.vision_models = cls.vision_models.copy()
-                cls.vision_models += [model.get("id") for model in data if model.get("vision")]
+                cls.vision_models += [model.get("id", model.get("name")) for model in data if model.get("vision")]
-                cls.models = [model.get("id") for model in data]
+                cls.models = [model.get("id", model.get("name")) for model in data]
                 if cls.sort_models:
                     cls.models.sort()
             except Exception as e:

g4f/api/__init__.py

@@ -275,8 +275,9 @@ class Api:
                             return ErrorResponse.from_message(e.detail, e.status_code, e.headers)
                 if user is None:
                     ip = request.headers.get("X-Forwarded-For", "")[:4].strip(":.")
-                    user = request.headers.get("Cf-Ipcountry", "")
+                    country = request.headers.get("Cf-Ipcountry", "")
-                    user = f"{user}:{ip}" if user else ip
+                    user = request.headers.get("x-user", ip)
+                    user = f"{country}:{user}" if country else user
                 request = update_headers(request, user)
             response = await call_next(request)
             return response

g4f/client/__init__.py

@@ -365,7 +365,7 @@ class Completions:
             messages = [{"role": "user", "content": messages}]
         resolve_media(kwargs, image, image_name)
         if hasattr(model, "name"):
-            model = model.name
+            model = model.get_long_name()
         if provider is None:
             provider = self.provider
             if provider is None:
@@ -686,7 +686,7 @@ class AsyncCompletions:
             messages = [{"role": "user", "content": messages}]
         resolve_media(kwargs, image, image_name)
         if hasattr(model, "name"):
-            model = model.name
+            model = model.get_long_name()
         if provider is None:
             provider = self.provider
             if provider is None:
@@ -781,7 +781,7 @@ class AsyncResponses():
                     input[idx] = {"role": message["role"], "content": message["content"]}
         resolve_media(kwargs)
         if hasattr(model, "name"):
-            model = model.name
+            model = model.get_long_name()
         if provider is None:
             provider = self.provider
             if provider is None:

g4f/client/service.py

@@ -83,7 +83,7 @@ def get_model_and_provider(model    : Union[Model, str],
     provider_name = provider.__name__ if hasattr(provider, "__name__") else type(provider).__name__
 
     if isinstance(model, Model):
-        model = model.name
+        model = model.get_long_name()
 
     if not ignore_working and not provider.working:
         raise ProviderNotWorkingError(f"{provider_name} is not working")

g4f/config.py

@@ -21,4 +21,5 @@ GITHUB_REPOSITORY = f"xtekky/{ORGANIZATION}"
 STATIC_DOMAIN = f"{PACKAGE_NAME}.dev"
 STATIC_URL = f"https://{STATIC_DOMAIN}/"
 DIST_DIR = f"./{STATIC_DOMAIN}/dist"
-DOWNLOAD_URL = f"https://raw.githubusercontent.com/{ORGANIZATION}/{STATIC_DOMAIN}/refs/heads/main/"
+DOWNLOAD_URL = f"https://raw.githubusercontent.com/{ORGANIZATION}/{STATIC_DOMAIN}/refs/heads/main/"
+DEFAULT_MODEL = "openai/gpt-oss-120b"

g4f/models.py

@@ -12,11 +12,12 @@ from .Provider import (
     Copilot,
     DeepInfraChat,
     Free2GPT,
+    GptOss,
     HuggingSpace,
     Grok,
     DeepseekAI_JanusPro7b,
-    DeepSeekAPI,
     ImageLabs,
+    Kimi,
     LambdaChat,
     OIVSCodeSer2,
     OIVSCodeSer0501,
@@ -32,18 +33,23 @@ from .Provider import (
     Yqcloud,
     
     ### Needs Auth ###
+    Azure,
     BingCreateImages,
     CopilotAccount,
     Gemini,
+    GeminiCLI,
     GeminiPro,
     HuggingChat,
     HuggingFace,
     HuggingFaceMedia,
     HuggingFaceAPI,
+    LMArenaBeta,
+    Groq,
     MetaAI,
     MicrosoftDesigner,
     OpenaiAccount,
     OpenaiChat,
+    OpenRouter,
 )
 
 class ModelRegistry:
@@ -115,6 +121,11 @@ class Model:
     name: str
     base_provider: str
     best_provider: ProviderType = None
+    long_name: Optional[str] = None
+
+    def get_long_name(self) -> str:
+        """Get the long name of the model, if available."""
+        return self.long_name if self.long_name else self.name
 
     def __post_init__(self):
         """Auto-register model after initialization"""
@@ -278,6 +289,13 @@ gpt_4_5 = Model(
     best_provider = OpenaiChat
 )
 
+gpt_oss_120b = Model(
+    name          = 'gpt-oss-120b',
+    long_name     = 'openai/gpt-oss-120b',
+    base_provider = 'OpenAI',
+    best_provider = IterListProvider([GptOss, Together, DeepInfraChat, HuggingFace, OpenRouter, Groq])
+)
+
 # dall-e
 dall_e_3 = ImageModel(
     name = 'dall-e-3',
@@ -510,13 +528,13 @@ gemini_2_0_flash_thinking_with_apps = Model(
 gemini_2_5_flash = Model(
     name          = 'gemini-2.5-flash',
     base_provider = 'Google',
-    best_provider = IterListProvider([Gemini, GeminiPro])
+    best_provider = IterListProvider([Gemini, GeminiPro, GeminiCLI])
 )
 
 gemini_2_5_pro = Model(
     name          = 'gemini-2.5-pro',
     base_provider = 'Google',
-    best_provider = IterListProvider([Gemini])
+    best_provider = IterListProvider([Gemini, GeminiPro, GeminiCLI])
 )
 
 # codegemma
@@ -846,6 +864,13 @@ grok_3_r1 = Model(
     best_provider = Grok
 )
 
+kimi = Model(
+    name = 'kimi-k2',
+    base_provider = 'kimi.com',
+    best_provider = IterListProvider([Kimi, HuggingFace, DeepInfraChat, Groq]),
+    long_name = "moonshotai/Kimi-K2-Instruct"
+)
+
 ### Perplexity AI ### 
 sonar = Model(
     name = 'sonar',
@@ -990,9 +1015,9 @@ flux_canny = ImageModel(
 )
 
 flux_kontext_max = ImageModel(
-    name = 'flux-kontext-max',
+    name = 'flux-kontext',
     base_provider = 'Black Forest Labs',
-    best_provider = Together
+    best_provider = IterListProvider([PollinationsAI, Azure, LMArenaBeta, Together])
 )
 
 flux_dev_lora = ImageModel(
@@ -1001,18 +1026,6 @@ flux_dev_lora = ImageModel(
     best_provider = Together
 )
 
-flux_kontext_pro = ImageModel(
-    name = 'flux-kontext-pro',
-    base_provider = 'Black Forest Labs',
-    best_provider = Together
-)
-
-flux_kontext_dev = ImageModel(
-    name = 'flux-kontext-dev',
-    base_provider = 'Black Forest Labs',
-    best_provider = Together
-)
-
 class ModelUtils:
     """
     Utility class for mapping string identifiers to Model instances.

g4f/providers/any_provider.py

@@ -118,10 +118,10 @@ class AnyModelProviderMixin(ProviderModelMixin):
             "default": {provider.__name__: "" for provider in models.default.best_provider.providers},
         }
         cls.model_map.update({ 
-            model: {
+            model.name: {
-                provider.__name__: model for provider in providers
+                provider.__name__: model.get_long_name() for provider in providers
                 if provider.working
-            } for model, (_, providers) in models.__models__.items()
+            } for _, (model, providers) in models.__models__.items()
         })
 
         # Process special providers
@@ -149,9 +149,10 @@ class AnyModelProviderMixin(ProviderModelMixin):
                         cls.model_map[model].update({provider.__name__: model})
                 else:
                     for model in provider.get_models():
-                        if model not in cls.model_map:
+                        cleaned = clean_name(model)
-                            cls.model_map[model] = {}
+                        if cleaned not in cls.model_map:
-                        cls.model_map[model].update({provider.__name__: model})
+                            cls.model_map[cleaned] = {}
+                        cls.model_map[cleaned].update({provider.__name__: model})
             except Exception as e:
                 debug.error(f"Error getting models for provider {provider.__name__}:", e)
                 continue
@@ -164,28 +165,6 @@ class AnyModelProviderMixin(ProviderModelMixin):
             if hasattr(provider, 'video_models'):
                 cls.video_models.extend(provider.video_models)
 
-        # Clean model names function
-        def clean_name(name: str) -> str:
-            name = name.split("/")[-1].split(":")[0].lower()
-            # Date patterns
-            name = re.sub(r'-\d{4}-\d{2}-\d{2}', '', name)
-            # name = re.sub(r'-\d{3,8}', '', name)
-            name = re.sub(r'-\d{2}-\d{2}', '', name)
-            name = re.sub(r'-[0-9a-f]{8}$', '', name)
-            # Version patterns
-            name = re.sub(r'-(instruct|chat|preview|experimental|v\d+|fp8|bf16|hf|free|tput)$', '', name)
-            # Other replacements
-            name = name.replace("_", ".")
-            name = name.replace("c4ai-", "")
-            name = name.replace("meta-llama-", "llama-")
-            name = name.replace("llama3", "llama-3")
-            name = name.replace("flux.1-", "flux-")
-            name = name.replace("qwen1-", "qwen-1")
-            name = name.replace("qwen2-", "qwen-2")
-            name = name.replace("qwen3-", "qwen-3")
-            name = name.replace("stable-diffusion-3.5-large", "sd-3.5-large")
-            return name
-
         for provider in PROVIERS_LIST_3:
             if not provider.working:
                 continue
@@ -421,6 +400,28 @@ class AnyProvider(AsyncGeneratorProvider, AnyModelProviderMixin):
         ):
             yield chunk
 
+# Clean model names function
+def clean_name(name: str) -> str:
+    name = name.split("/")[-1].split(":")[0].lower()
+    # Date patterns
+    name = re.sub(r'-\d{4}-\d{2}-\d{2}', '', name)
+    # name = re.sub(r'-\d{3,8}', '', name)
+    name = re.sub(r'-\d{2}-\d{2}', '', name)
+    name = re.sub(r'-[0-9a-f]{8}$', '', name)
+    # Version patterns
+    name = re.sub(r'-(instruct|chat|preview|experimental|v\d+|fp8|bf16|hf|free|tput)$', '', name)
+    # Other replacements
+    name = name.replace("_", ".")
+    name = name.replace("c4ai-", "")
+    name = name.replace("meta-llama-", "llama-")
+    name = name.replace("llama3", "llama-3")
+    name = name.replace("flux.1-", "flux-")
+    name = name.replace("qwen1-", "qwen-1")
+    name = name.replace("qwen2-", "qwen-2")
+    name = name.replace("qwen3-", "qwen-3")
+    name = name.replace("stable-diffusion-3.5-large", "sd-3.5-large")
+    return name
+
 setattr(Provider, "AnyProvider", AnyProvider)
 Provider.__map__["AnyProvider"] = AnyProvider
 Provider.__providers__.append(AnyProvider)

g4f/providers/response.py

@@ -366,7 +366,7 @@ class ImageResponse(MediaResponse):
         if self.get("width") and self.get("height"):
             return "\n".join([
                 f'<a href="{html.escape(url)}" data-width="{self.get("width")}" data-height="{self.get("height")}" data-source="{html.escape(self.get("source_url", ""))}">'
-                + f'<img src="{url.replace("/media/", "/thumbnail/")}" alt="{html.escape(self.alt)}"></a>'
+                + f'<img src="{url.replace("/media/", "/thumbnail/")}" alt="{html.escape(" ".join(self.alt.split()))}"></a>'
                 for url in self.get_list()
             ])
         return format_images_markdown(self.urls, self.alt, self.get("preview"))