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Code Issues Projects Releases Packages Wiki Activity

chore: temporarily disable some new providers

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kqlio67 2024-10-12 21:34:04 +03:00
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docs/providers-and-models.md
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@ -21,7 +21,6 @@
|[openchat.team](https://openchat.team/)|`g4f.Provider.Aura`|✔|❌|❌|?|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[bing.com](https://bing.com/chat)|`g4f.Provider.Bing`|`gpt-4`|✔|`gpt-4-vision`|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌+✔|
|[bing.com/images](https://www.bing.com/images/create)|`g4f.Provider.BingCreateImages`|`❌|✔|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
|[chat18.aichatos8.com](https://chat18.aichatos8.com)|`g4f.Provider.Binjie`|`gpt-4`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[blackbox.ai](https://www.blackbox.ai)|`g4f.Provider.Blackbox`|`blackboxai, blackboxai-pro, gemini-flash, llama-3.1-8b, llama-3.1-70b, gpt-4o, gemini-pro, claude-3.5-sonnet`|`flux`|✔|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[chatgot.one](https://www.chatgot.one/)|`g4f.Provider.ChatGot`|`gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[chatgpt.com](https://chatgpt.com)|`g4f.Provider.ChatGpt`|`?`|`?`|`?`|?|![Unknown](https://img.shields.io/badge/Unknown-grey) |❌|
@ -30,12 +29,12 @@
|[chatgpt4o.one](https://chatgpt4o.one)|`g4f.Provider.Chatgpt4o`|✔|❌|❌|❌|![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)|❌|
|[chatgptfree.ai](https://chatgptfree.ai)|`g4f.Provider.ChatgptFree`|`gpt-4o-mini`|❌|❌|?|![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)|❌|
|[app.chathub.gg](https://app.chathub.gg)|`g4f.Provider.ChatHub`|`llama-3.1-8b, mixtral-8x7b, gemma-2, sonar-online`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[chatify-ai.vercel.app](https://chatify-ai.vercel.app)|`g4f.Provider.ChatifyAI`|`llama-3.1`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[chatify-ai.vercel.app](https://chatify-ai.vercel.app)|`g4f.Provider.ChatifyAI`|`llama-3.1-8b`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[playground.ai.cloudflare.com](https://playground.ai.cloudflare.com)|`g4f.Provider.Cloudflare`|`german-7b, gemma-7b, llama-2-7b, llama-3-8b, llama-3.1-8b, llama-3.2-11b, llama-3.2-1b, llama-3.2-3b, mistral-7b, openchat-3.5, phi-2, qwen-1.5-0.5b, qwen-1.5-1.8b, qwen-1.5-14b, qwen-1.5-7b, tinyllama-1.1b, cybertron-7b`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[aiuncensored.info](https://www.aiuncensored.info)|`g4f.Provider.DarkAI`|`gpt-4o, gpt-3.5-turbo, llama-3-70b, llama-3-405b`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[duckduckgo.com](https://duckduckgo.com/duckchat/v1/chat)|`g4f.Provider.DDG`|`gpt-4o-mini, claude-3-haiku, llama-3.1-70b, mixtral-8x7b`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[deepinfra.com](https://deepinfra.com)|`g4f.Provider.DeepInfra`|✔|❌|❌|✔|![Unknown](https://img.shields.io/badge/Unknown-grey)|✔|
|[deepinfra.com/chat](https://deepinfra.com/chat)|`g4f.Provider.DeepInfraChat`|`llama-3.1-405b, llama-3.1-70b, Llama-3.1-8B, mixtral-8x22b, mixtral-8x7b, wizardlm-2-8x22b, wizardlm-2-7b, qwen-2-72b, phi-3-medium-4k, gemma-2b-27b, minicpm-llama-3-v2.5, mistral-7b, lzlv_70b, openchat-3.6-8b, phind-codellama-34b-v2, dolphin-2.9.1-llama-3-70b`|❌|`minicpm-llama-3-v2.5`|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[deepinfra.com/chat](https://deepinfra.com/chat)|`g4f.Provider.DeepInfraChat`|`llama-3.1-405b, llama-3.1-70b, llama-3.1-8B, mixtral-8x22b, mixtral-8x7b, wizardlm-2-8x22b, wizardlm-2-7b, qwen-2-72b, phi-3-medium-4k, gemma-2b-27b, minicpm-llama-3-v2.5, mistral-7b, lzlv_70b, openchat-3.6-8b, phind-codellama-34b-v2, dolphin-2.9.1-llama-3-70b`|❌|`minicpm-llama-3-v2.5`|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[deepinfra.com](https://deepinfra.com)|`g4f.Provider.DeepInfraImage`|❌|✔|❌|❌|![Unknown](https://img.shields.io/badge/Unknown-grey)|✔|
|[flowgpt.com](https://flowgpt.com/chat)|`g4f.Provider.FlowGpt`|✔||❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[chat10.free2gpt.xyz](chat10.free2gpt.xyz)|`g4f.Provider.Free2GPT`|`llama-3.1-70b`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
@ -51,12 +50,10 @@
|[huggingface.co](https://huggingface.co/chat)|`g4f.Provider.HuggingFace`|✔|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[koala.sh/chat](https://koala.sh/chat)|`g4f.Provider.Koala`|`gpt-4o-mini`|❌|❌|?|![Cloudflare](https://img.shields.io/badge/Cloudflare-f48d37)|❌|
|[liaobots.work](https://liaobots.work)|`g4f.Provider.Liaobots`|`gpt-3.5-turbo, gpt-4o-mini, gpt-4o, gpt-4-turbo, grok-2, grok-2-mini, claude-3-opus, claude-3-sonnet, claude-3-5-sonnet, claude-3-haiku, claude-2.1, gemini-flash, gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[lite.icoding.ink](https://lite.icoding.ink)|`g4f.Provider.LiteIcoding`|`gpt-4o-mini, gpt-4-turbo, claude-3, claude-3.5, gemini-pro`|❌|❌|❌|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[magickpen.com](https://magickpen.com)|`g4f.Provider.MagickPen`|`gpt-4o-mini`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[meta.ai](https://www.meta.ai)|`g4f.Provider.MetaAI`|✔|✔|?|?|![Active](https://img.shields.io/badge/Active-brightgreen)|✔|
|[app.myshell.ai/chat](https://app.myshell.ai/chat)|`g4f.Provider.MyShell`|✔|❌|?|?|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[nexra.aryahcr.cc/midjourney](https://nexra.aryahcr.cc/documentation/midjourney/en)|`g4f.Provider.NexraAnimagineXL`|❌ |`animagine-xl`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/bing](https://nexra.aryahcr.cc/documentation/bing/en)|`g4f.Provider.NexraBing`|`gpt-4` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/bing](https://nexra.aryahcr.cc/documentation/bing/en)|`g4f.Provider.NexraBing`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[nexra.aryahcr.cc/blackbox](https://nexra.aryahcr.cc/documentation/blackbox/en)|`g4f.Provider.NexraBlackbox`|`blackboxai` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT`|`gpt-4, gpt-3.5-turbo, gpt-3` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/chatgpt](https://nexra.aryahcr.cc/documentation/chatgpt/en)|`g4f.Provider.NexraChatGPT4o`|`gpt-4o` |❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
@ -67,16 +64,16 @@
|[nexra.aryahcr.cc/dall-e](https://nexra.aryahcr.cc/documentation/dall-e/en)|`g4f.Provider.NexraDalleMini`|❌ |`dalle-mini`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/emi](https://nexra.aryahcr.cc/documentation/emi/en)|`g4f.Provider.NexraEmi`|❌ |`emi`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/flux-pro](https://nexra.aryahcr.cc/documentation/flux-pro/en)|`g4f.Provider.NexraFluxPro`|❌ |`flux-pro`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/gemini-pro](https://nexra.aryahcr.cc/documentation/gemini-pro/en)|`g4f.Provider.NexraGeminiPro`|`gemini-pro`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/llama-3.1](https://nexra.aryahcr.cc/documentation/llama-3.1/en)|`g4f.Provider.NexraLLaMA31`|`llama-3.1`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/midjourney](https://nexra.aryahcr.cc/documentation/midjourney/en)|`g4f.Provider.NexraMidjourney`|❌|`midjourney`|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/prodia](https://nexra.aryahcr.cc/documentation/prodia/en)|`g4f.Provider.NexraProdiaAI`|❌|✔|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/gemini-pro](https://nexra.aryahcr.cc/documentation/gemini-pro/en)|`g4f.Provider.NexraGeminiPro`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[nexra.aryahcr.cc/llama-3.1](https://nexra.aryahcr.cc/documentation/llama-3.1/en)|`g4f.Provider.NexraLLaMA31`|`llama-3.1-8b`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/midjourney](https://nexra.aryahcr.cc/documentation/midjourney/en)|`g4f.Provider.NexraMidjourney`|❌|✔|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[nexra.aryahcr.cc/prodia](https://nexra.aryahcr.cc/documentation/prodia/en)|`g4f.Provider.NexraProdiaAI`|❌|✔|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[nexra.aryahcr.cc/qwen](https://nexra.aryahcr.cc/documentation/qwen/en)|`g4f.Provider.NexraQwen`|`qwen`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|❌|
|[nexra.aryahcr.cc/qwen](https://nexra.aryahcr.cc/documentation/qwen/en)|`g4f.Provider.NexraQwen`|`qwen`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSD15`|`sd-1.5`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSD21`|`sd-2.1`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSDLora`|`sdxl-lora`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSDTurbo`|`sdxl-turbo`|❌|❌|✔|![Active](https://img.shields.io/badge/Active-brightgreen)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSD15`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSD21`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSDLora`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|
|[nexra.aryahcr.cc/stable-diffusion](https://nexra.aryahcr.cc/documentation/stable-diffusion/en)|`g4f.Provider.NexraSDTurbo`|✔|❌|❌|✔|![Disabled](https://img.shields.io/badge/Disabled-red)|
|[openrouter.ai](https://openrouter.ai)|`g4f.Provider.OpenRouter`|✔|❌|?|?|![Disabled](https://img.shields.io/badge/Disabled-red)|❌|
|[platform.openai.com](https://platform.openai.com/)|`g4f.Provider.Openai`|✔|❌|✔||![Unknown](https://img.shields.io/badge/Unknown-grey)|✔|
|[chatgpt.com](https://chatgpt.com/)|`g4f.Provider.OpenaiChat`|`gpt-4o, gpt-4o-mini, gpt-4`|❌|✔||![Unknown](https://img.shields.io/badge/Unknown-grey)|✔|
@ -109,19 +106,17 @@
|--|--|--|-|
|gpt-3|OpenAI|1+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-base)|
|gpt-3.5-turbo|OpenAI|5+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-3-5-turbo)|
|gpt-4|OpenAI|32+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
|gpt-4-turbo|OpenAI|3+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
|gpt-4o|OpenAI|7+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
|gpt-4o-mini|OpenAI|14+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o-mini)|
|gpt-4|OpenAI|8+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
|gpt-4-turbo|OpenAI|2+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4-turbo-and-gpt-4)|
|gpt-4o|OpenAI|6+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o)|
|gpt-4o-mini|OpenAI|13+ Providers|[platform.openai.com](https://platform.openai.com/docs/models/gpt-4o-mini)|
|o1|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/introducing-openai-o1-preview/)|
|o1-mini|OpenAI|1+ Providers|[platform.openai.com](https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/)|
|llama-2-7b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-2-7b)|
|llama-2-13b|Meta Llama|1+ Providers|[llama.com](https://www.llama.com/llama2/)|
|llama-3|Meta Llama|7+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
|llama-3-8b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
|llama-3-70b|Meta Llama|4+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3/)|
|llama-3.1|Meta Llama|21+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
|llama-3.1-8b|Meta Llama|6+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
|llama-3.1-8b|Meta Llama|7+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
|llama-3.1-70b|Meta Llama|11+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
|llama-3.1-405b|Meta Llama|5+ Providers|[ai.meta.com](https://ai.meta.com/blog/meta-llama-3-1/)|
|llama-3.2-1b|Meta Llama|1+ Providers|[huggingface.co](https://huggingface.co/meta-llama/Llama-3.2-1B)|
@ -137,22 +132,19 @@
|mixtral-8x7b-dpo|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO)|
|yi-34b|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Nous-Hermes-2-Yi-34B)|
|hermes-3|NousResearch|1+ Providers|[huggingface.co](https://huggingface.co/NousResearch/Hermes-3-Llama-3.1-8B)|
|gemini|Google DeepMind|13+ Providers|[deepmind.google](http://deepmind.google/technologies/gemini/)|
|gemini|Google DeepMind|1+ Providers|[deepmind.google](http://deepmind.google/technologies/gemini/)|
|gemini-flash|Google DeepMind|3+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/flash/)|
|gemini-pro|Google DeepMind|9+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/pro/)|
|gemini-pro|Google DeepMind|8+ Providers|[deepmind.google](https://deepmind.google/technologies/gemini/pro/)|
|gemma-2b|Google|5+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2b)|
|gemma-2b-9b|Google|1+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2-9b)|
|gemma-2b-27b|Google|2+ Providers|[huggingface.co](https://huggingface.co/google/gemma-2-27b)|
|gemma-7b|Google|1+ Providers|[huggingface.co](https://huggingface.co/google/gemma-7b)|
|gemma-2|Google|2+ Providers|[huggingface.co](https://huggingface.co/blog/gemma2)|
|gemma_2_27b|Google|1+ Providers|[huggingface.co](https://huggingface.co/blog/gemma2)|
|claude-2|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-2)|
|claude-2.1|Anthropic|1+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-2)|
|claude-3|Anthropic|7+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
|claude-3-haiku|Anthropic|3+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-haiku)|
|claude-3-sonnet|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
|claude-3-opus|Anthropic|2+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-family)|
|claude-3.5|Anthropic|5+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-5-sonnet)|
|claude-3.5-sonnet|Anthropic|4+ Providers|[anthropic.com](https://www.anthropic.com/news/claude-3-5-sonnet)|
|blackboxai|Blackbox AI|2+ Providers|[docs.blackbox.chat](https://docs.blackbox.chat/blackbox-ai-1)|
|blackboxai-pro|Blackbox AI|1+ Providers|[docs.blackbox.chat](https://docs.blackbox.chat/blackbox-ai-1)|
@ -163,7 +155,7 @@
|dbrx-instruct|Databricks|1+ Providers|[huggingface.co](https://huggingface.co/databricks/dbrx-instruct)|
|command-r-plus|CohereForAI|1+ Providers|[docs.cohere.com](https://docs.cohere.com/docs/command-r-plus)|
|sparkdesk-v1.1|iFlytek|1+ Providers|[xfyun.cn](https://www.xfyun.cn/doc/spark/Guide.html)|
|qwen|Qwen|10+ Providers|[huggingface.co](https://huggingface.co/Qwen)|
|qwen|Qwen|1+ Providers|[huggingface.co](https://huggingface.co/Qwen)|
|qwen-1.5-0.5b|Qwen|1+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen1.5-0.5B)|
|qwen-1.5-7b|Qwen|2+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen1.5-7B)|
|qwen-1.5-14b|Qwen|3+ Providers|[huggingface.co](https://huggingface.co/Qwen/Qwen1.5-14B)|
@ -201,12 +193,7 @@
### ImageModel
|Model|Base Provider|Provider|Website|
|--|--|--|-|
|sdxl|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl)|
|sdxl-lora|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/blog/lora)|
|sdxl-turbo|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/sdxl-turbo)|
|sd|Stability AI|3+ Providers|[huggingface.co](https://huggingface.co/stabilityai/)|
|sd-1.5|Stability AI|1+ Providers|[github.com](https://github.com/Stability-AI/StableDiffusion)|
|sd-2.1|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/stabilityai/stable-diffusion-2-1)|
|sdxl|Stability AI|3+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/en/using-diffusers/sdxl)|
|sd-3|Stability AI|1+ Providers|[huggingface.co](https://huggingface.co/docs/diffusers/main/en/api/pipelines/stable_diffusion/stable_diffusion_3)|
|playground-v2.5|Playground AI|1+ Providers|[huggingface.co](https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic)|
|flux|Black Forest Labs|2+ Providers|[github.com/black-forest-labs/flux](https://github.com/black-forest-labs/flux)|
@ -218,11 +205,9 @@
|flux-pixel|Flux AI|1+ Providers|[]()|
|flux-4o|Flux AI|1+ Providers|[]()|
|flux-schnell|Black Forest Labs|1+ Providers|[huggingface.co](https://huggingface.co/black-forest-labs/FLUX.1-schnell)|
|dalle|OpenAI|4+ Providers|[openai.com](https://openai.com/index/dall-e/)|
|dalle|OpenAI|1+ Providers|[openai.com](https://openai.com/index/dall-e/)|
|dalle-2|OpenAI|1+ Providers|[openai.com](https://openai.com/index/dall-e-2/)|
|dalle-3|OpenAI|2+ Providers|[openai.com](https://openai.com/index/dall-e-3/)|
|dalle-mini||1+ Providers|[huggingface.co](https://huggingface.co/dalle-mini/dalle-mini)|
|animagine-xl|Cagliostro Research Lab|1+ Providers|[huggingface.co](https://huggingface.co/cagliostrolab/animagine-xl-3.1)|
|midjourney|Midjourney|1+ Providers|[docs.midjourney.com](https://docs.midjourney.com/docs/model-versions)|
|emi||1+ Providers|[]()|
|any-dark||1+ Providers|[]()|

2
g4f/Provider/Airforce.py
View file

@ -37,7 +37,7 @@ class Airforce(AsyncGeneratorProvider, ProviderModelMixin):
'gpt-3.5-turbo',
'gpt-3.5-turbo-0125',
'gpt-3.5-turbo-1106',
'llama-3-70b-chat',
default_model,
'llama-3-70b-chat-turbo',
'llama-3-8b-chat',
'llama-3-8b-chat-turbo',

65
g4f/Provider/Binjie.py
View file

@ -1,65 +0,0 @@
from __future__ import annotations
import random
from ..requests import StreamSession
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, format_prompt
class Binjie(AsyncGeneratorProvider):
url = "https://chat18.aichatos8.com"
working = True
supports_gpt_4 = True
supports_stream = True
supports_system_message = True
supports_message_history = True
@staticmethod
async def create_async_generator(
model: str,
messages: Messages,
proxy: str = None,
timeout: int = 120,
**kwargs,
) -> AsyncResult:
async with StreamSession(
headers=_create_header(), proxies={"https": proxy}, timeout=timeout
) as session:
payload = _create_payload(messages, **kwargs)
async with session.post("https://api.binjie.fun/api/generateStream", json=payload) as response:
response.raise_for_status()
async for chunk in response.iter_content():
if chunk:
chunk = chunk.decode()
if "sorry, 您的ip已由于触发防滥用检测而被封禁" in chunk:
raise RuntimeError("IP address is blocked by abuse detection.")
yield chunk
def _create_header():
return {
"accept" : "application/json, text/plain, */*",
"content-type" : "application/json",
"origin" : "https://chat18.aichatos8.com",
"referer" : "https://chat18.aichatos8.com/"
}
def _create_payload(
messages: Messages,
system_message: str = "",
user_id: int = None,
**kwargs
):
if not user_id:
user_id = random.randint(1690000544336, 2093025544336)
return {
"prompt": format_prompt(messages),
"network": True,
"system": system_message,
"withoutContext": False,
"stream": True,
"userId": f"#/chat/{user_id}"
}

2
g4f/Provider/Blackbox.py
View file

@ -80,7 +80,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
"gpt-4o": "gpt-4o",
"gemini-pro": "gemini-pro",
'claude-sonnet-3.5': "claude-sonnet-3.5",
'blackboxai-pro': "blackboxai-pro",
}
model_prefixes = {
@ -107,7 +106,6 @@ class Blackbox(AsyncGeneratorProvider, ProviderModelMixin):
model_referers = {
"blackboxai": f"{url}/?model=blackboxai",
"blackboxai-pro": f"{url}/?model=blackboxai-pro",
"gpt-4o": f"{url}/?model=gpt-4o",
"gemini-pro": f"{url}/?model=gemini-pro",
"claude-sonnet-3.5": f"{url}/?model=claude-sonnet-3.5"

8
g4f/Provider/ChatifyAI.py
View file

@ -17,9 +17,17 @@ class ChatifyAI(AsyncGeneratorProvider, ProviderModelMixin):
default_model = 'llama-3.1'
models = [default_model]
model_aliases = {
"llama-3.1-8b": "llama-3.1",
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases.get(model, cls.default_model)
else:
return cls.default_model
@classmethod

132
g4f/Provider/LiteIcoding.py
View file

@ -1,132 +0,0 @@
from __future__ import annotations
import base64
import re
from aiohttp import ClientSession, ClientResponseError
from ..typing import AsyncResult, Messages
from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
from .helper import format_prompt
class LiteIcoding(AsyncGeneratorProvider, ProviderModelMixin):
url = "https://lite.icoding.ink"
api_endpoint = "/api/v1/gpt/message"
working = True
supports_gpt_4 = True
default_model = "gpt-4o"
models = [
'gpt-4o',
'gpt-4-turbo',
'claude-3',
'claude-3.5',
'gemini-1.5',
]
model_aliases = {
"gpt-4o-mini": "gpt-4o",
"gemini-pro": "gemini-1.5",
}
bearer_tokens = [
"NWQ2OWNkMjcxYjE0NDIyNmFjMTE5OWIzYzg0OWE1NjY=",
]
current_token_index = 0
@classmethod
def decode_token(cls, encoded_token: str) -> str:
return base64.b64decode(encoded_token).decode('utf-8')
@classmethod
def get_next_bearer_token(cls):
encoded_token = cls.bearer_tokens[cls.current_token_index]
cls.current_token_index = (cls.current_token_index + 1) % len(cls.bearer_tokens)
return cls.decode_token(encoded_token)
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
**kwargs
) -> AsyncResult:
bearer_token = cls.get_next_bearer_token()
headers = {
"Accept": "*/*",
"Accept-Language": "en-US,en;q=0.9",
"Authorization": f"Bearer {bearer_token}",
"Connection": "keep-alive",
"Content-Type": "application/json;charset=utf-8",
"DNT": "1",
"Origin": cls.url,
"Referer": f"{cls.url}/",
"Sec-Fetch-Dest": "empty",
"Sec-Fetch-Mode": "cors",
"Sec-Fetch-Site": "same-origin",
"User-Agent": (
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) "
"Chrome/126.0.0.0 Safari/537.36"
),
"sec-ch-ua": '"Not/A)Brand";v="8", "Chromium";v="126"',
"sec-ch-ua-mobile": "?0",
"sec-ch-ua-platform": '"Linux"',
}
data = {
"model": model,
"chatId": "-1",
"messages": [
{
"role": msg["role"],
"content": msg["content"],
"time": msg.get("time", ""),
"attachments": msg.get("attachments", []),
}
for msg in messages
],
"plugins": [],
"systemPrompt": "",
"temperature": 0.5,
}
async with ClientSession(headers=headers) as session:
try:
async with session.post(
f"{cls.url}{cls.api_endpoint}", json=data, proxy=proxy
) as response:
response.raise_for_status()
buffer = ""
full_response = ""
def decode_content(data):
bytes_array = bytes([int(b, 16) ^ 255 for b in data.split()])
return bytes_array.decode('utf-8')
async for chunk in response.content.iter_any():
if chunk:
buffer += chunk.decode()
while "\n\n" in buffer:
part, buffer = buffer.split("\n\n", 1)
if part.startswith("data: "):
content = part[6:].strip()
if content and content != "[DONE]":
content = content.strip('"')
decoded_content = decode_content(content)
full_response += decoded_content
full_response = (
full_response.replace('""', '')
.replace('" "', ' ')
.replace("\\n\\n", "\n\n")
.replace("\\n", "\n")
.replace('\\"', '"')
.strip()
)
filtered_response = re.sub(r'\n---\n.*', '', full_response, flags=re.DOTALL)
cleaned_response = filtered_response.strip().strip('"')
yield cleaned_response
except ClientResponseError as e:
raise RuntimeError(
f"ClientResponseError {e.status}: {e.message}, url={e.request_info.url}, data={data}"
) from e
except Exception as e:
raise RuntimeError(f"Unexpected error: {str(e)}") from e

2
g4f/Provider/__init__.py
View file

@ -22,7 +22,6 @@ from .Airforce import Airforce
from .Aura import Aura
from .Bing import Bing
from .BingCreateImages import BingCreateImages
from .Binjie import Binjie
from .Blackbox import Blackbox
from .ChatGot import ChatGot
from .ChatGpt import ChatGpt
@ -50,7 +49,6 @@ from .HuggingChat import HuggingChat
from .HuggingFace import HuggingFace
from .Koala import Koala
from .Liaobots import Liaobots
from .LiteIcoding import LiteIcoding
from .Local import Local
from .MagickPen import MagickPen
from .MetaAI import MetaAI

66
g4f/Provider/nexra/NexraAnimagineXL.py
View file

@ -1,66 +0,0 @@
from __future__ import annotations
from aiohttp import ClientSession
import json
from ...typing import AsyncResult, Messages
from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
from ...image import ImageResponse
class NexraAnimagineXL(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Animagine XL"
url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
default_model = 'animagine-xl'
models = [default_model]
@classmethod
def get_model(cls, model: str) -> str:
return cls.default_model
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
response: str = "url", # base64 or url
**kwargs
) -> AsyncResult:
# Retrieve the correct model to use
model = cls.get_model(model)
# Format the prompt from the messages
prompt = messages[0]['content']
headers = {
"Content-Type": "application/json"
}
payload = {
"prompt": prompt,
"model": model,
"response": response
}
async with ClientSession(headers=headers) as session:
async with session.post(cls.api_endpoint, json=payload, proxy=proxy) as response:
response.raise_for_status()
text_data = await response.text()
try:
# Parse the JSON response
json_start = text_data.find('{')
json_data = text_data[json_start:]
data = json.loads(json_data)
# Check if the response contains images
if 'images' in data and len(data['images']) > 0:
image_url = data['images'][0]
yield ImageResponse(image_url, prompt)
else:
yield ImageResponse("No images found in the response.", prompt)
except json.JSONDecodeError:
yield ImageResponse("Failed to parse JSON. Response might not be in JSON format.", prompt)

2
g4f/Provider/nexra/NexraBing.py
View file

@ -13,7 +13,7 @@ class NexraBing(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Bing"
url = "https://nexra.aryahcr.cc/documentation/bing/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
working = True
working = False
supports_gpt_4 = False
supports_stream = False

2
g4f/Provider/nexra/NexraGeminiPro.py
View file

@ -11,7 +11,7 @@ class NexraGeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Gemini PRO"
url = "https://nexra.aryahcr.cc/documentation/gemini-pro/en"
api_endpoint = "https://nexra.aryahcr.cc/api/chat/complements"
working = True
working = False
supports_stream = True
default_model = 'gemini-pro'

8
g4f/Provider/nexra/NexraLLaMA31.py
View file

@ -17,9 +17,17 @@ class NexraLLaMA31(AsyncGeneratorProvider, ProviderModelMixin):
default_model = 'llama-3.1'
models = [default_model]
model_aliases = {
"llama-3.1-8b": "llama-3.1",
}
@classmethod
def get_model(cls, model: str) -> str:
if model in cls.models:
return model
elif model in cls.model_aliases:
return cls.model_aliases.get(model, cls.default_model)
else:
return cls.default_model
@classmethod

2
g4f/Provider/nexra/NexraMidjourney.py
View file

@ -12,7 +12,7 @@ class NexraMidjourney(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Midjourney"
url = "https://nexra.aryahcr.cc/documentation/midjourney/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
working = False
default_model = 'midjourney'
models = [default_model]

2
g4f/Provider/nexra/NexraProdiaAI.py
View file

@ -12,7 +12,7 @@ class NexraProdiaAI(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Prodia AI"
url = "https://nexra.aryahcr.cc/documentation/prodia/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
working = False
default_model = 'absolutereality_v181.safetensors [3d9d4d2b]'
models = [

2
g4f/Provider/nexra/NexraSD15.py
View file

@ -12,7 +12,7 @@ class NexraSD15(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion 1.5"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
working = False
default_model = 'stablediffusion-1.5'
models = [default_model]

2
g4f/Provider/nexra/NexraSD21.py
View file

@ -12,7 +12,7 @@ class NexraSD21(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion 2.1"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
working = False
default_model = 'stablediffusion-2.1'
models = [default_model]

2
g4f/Provider/nexra/NexraSDLora.py
View file

@ -12,7 +12,7 @@ class NexraSDLora(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion Lora"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
working = False
default_model = 'sdxl-lora'
models = [default_model]

2
g4f/Provider/nexra/NexraSDTurbo.py
View file

@ -12,7 +12,7 @@ class NexraSDTurbo(AsyncGeneratorProvider, ProviderModelMixin):
label = "Nexra Stable Diffusion Turbo"
url = "https://nexra.aryahcr.cc/documentation/stable-diffusion/en"
api_endpoint = "https://nexra.aryahcr.cc/api/image/complements"
working = True
working = False
default_model = 'sdxl-turbo'
models = [default_model]

1
g4f/Provider/nexra/__init__.py
View file

@ -1,4 +1,3 @@
from .NexraAnimagineXL import NexraAnimagineXL
from .NexraBing import NexraBing
from .NexraBlackbox import NexraBlackbox
from .NexraChatGPT import NexraChatGPT

236
g4f/models.py
View file

@ -9,7 +9,6 @@ from .Provider import (
Allyfy,
AmigoChat,
Bing,
Binjie,
Blackbox,
ChatGpt,
Chatgpt4Online,
@ -35,11 +34,8 @@ from .Provider import (
HuggingFace,
Koala,
Liaobots,
LiteIcoding,
MagickPen,
MetaAI,
NexraAnimagineXL,
NexraBing,
NexraBlackbox,
NexraChatGPT,
NexraChatGPT4o,
@ -50,15 +46,8 @@ from .Provider import (
NexraDalleMini,
NexraEmi,
NexraFluxPro,
NexraGeminiPro,
NexraLLaMA31,
NexraMidjourney,
NexraProdiaAI,
NexraQwen,
NexraSD15,
NexraSD21,
NexraSDLora,
NexraSDTurbo,
OpenaiChat,
PerplexityLabs,
Pi,
@ -68,7 +57,6 @@ from .Provider import (
ReplicateHome,
TeachAnything,
Upstage,
You,
)
@ -102,11 +90,9 @@ default = Model(
ReplicateHome,
Upstage,
Blackbox,
Binjie,
Free2GPT,
MagickPen,
DeepInfraChat,
LiteIcoding,
Airforce,
ChatHub,
ChatGptEs,
@ -133,58 +119,45 @@ gpt_3 = Model(
gpt_35_turbo = Model(
name = 'gpt-3.5-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots,
])
best_provider = IterListProvider([Allyfy, NexraChatGPT, Airforce, DarkAI, Liaobots])
)
# gpt-4
gpt_4o = Model(
name = 'gpt-4o',
base_provider = 'OpenAI',
best_provider = IterListProvider([
NexraChatGPT4o, ChatGptEs, AmigoChat, DarkAI, Liaobots, Airforce,
OpenaiChat
])
best_provider = IterListProvider([NexraChatGPT4o, ChatGptEs, AmigoChat, DarkAI, Liaobots, Airforce, OpenaiChat])
)
gpt_4o_mini = Model(
name = 'gpt-4o-mini',
base_provider = 'OpenAI',
best_provider = IterListProvider([
DDG, ChatGptEs, You, FreeNetfly, Pizzagpt, LiteIcoding, MagickPen, AmigoChat, Liaobots, Airforce, ChatgptFree, Koala,
OpenaiChat, ChatGpt
])
best_provider = IterListProvider([DDG, ChatGptEs, FreeNetfly, Pizzagpt, MagickPen, AmigoChat, Liaobots, Airforce, ChatgptFree, Koala, OpenaiChat, ChatGpt])
)
gpt_4_turbo = Model(
name = 'gpt-4-turbo',
base_provider = 'OpenAI',
best_provider = IterListProvider([
Liaobots, Airforce, Bing
])
best_provider = IterListProvider([Liaobots, Airforce, Bing])
)
gpt_4 = Model(
name = 'gpt-4',
base_provider = 'OpenAI',
best_provider = IterListProvider([
NexraBing, NexraChatGPT, NexraChatGptV2, NexraChatGptWeb, Binjie, Airforce, Chatgpt4Online, Bing, OpenaiChat,
gpt_4_turbo.best_provider, gpt_4o.best_provider, gpt_4o_mini.best_provider
])
best_provider = IterListProvider([NexraChatGPT, NexraChatGptV2, NexraChatGptWeb, Airforce, Chatgpt4Online, Bing, OpenaiChat])
)
# o1
o1 = Model(
name = 'o1',
base_provider = 'OpenAI',
best_provider = IterListProvider([AmigoChat])
best_provider = AmigoChat
)
o1_mini = Model(
name = 'o1-mini',
base_provider = 'OpenAI',
best_provider = IterListProvider([AmigoChat])
best_provider = AmigoChat
)
@ -229,17 +202,11 @@ llama_3_70b = Model(
best_provider = IterListProvider([ReplicateHome, Airforce, DeepInfra, Replicate])
)
llama_3 = Model(
name = "llama-3",
base_provider = "Meta Llama",
best_provider = IterListProvider([llama_3_8b.best_provider, llama_3_70b.best_provider])
)
# llama 3.1
llama_3_1_8b = Model(
name = "llama-3.1-8b",
base_provider = "Meta Llama",
best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, Airforce, PerplexityLabs])
best_provider = IterListProvider([Blackbox, DeepInfraChat, ChatHub, Cloudflare, NexraLLaMA31, Airforce, PerplexityLabs])
)
llama_3_1_70b = Model(
@ -254,23 +221,17 @@ llama_3_1_405b = Model(
best_provider = IterListProvider([DeepInfraChat, Blackbox, AmigoChat, DarkAI, Airforce])
)
llama_3_1 = Model(
name = "llama-3.1",
base_provider = "Meta Llama",
best_provider = IterListProvider([NexraLLaMA31, ChatifyAI, llama_3_1_8b.best_provider, llama_3_1_70b.best_provider, llama_3_1_405b.best_provider,])
)
# llama 3.2
llama_3_2_1b = Model(
name = "llama-3.2-1b",
base_provider = "Meta Llama",
best_provider = IterListProvider([Cloudflare])
best_provider = Cloudflare
)
llama_3_2_3b = Model(
name = "llama-3.2-3b",
base_provider = "Meta Llama",
best_provider = IterListProvider([Cloudflare])
best_provider = Cloudflare
)
llama_3_2_11b = Model(
@ -285,22 +246,18 @@ llama_3_2_90b = Model(
best_provider = IterListProvider([AmigoChat, Airforce])
)
llama_3_2 = Model(
name = "llama-3.2",
base_provider = "Meta Llama",
best_provider = IterListProvider([llama_3_2_1b.best_provider, llama_3_2_3b.best_provider, llama_3_2_11b.best_provider, llama_3_2_90b.best_provider])
)
# llamaguard
llamaguard_7b = Model(
name = "llamaguard-7b",
base_provider = "Meta Llama",
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
llamaguard_2_8b = Model(
name = "llamaguard-2-8b",
base_provider = "Meta Llama",
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
@ -334,13 +291,13 @@ mistral_nemo = Model(
mixtral_8x7b_dpo = Model(
name = "mixtral-8x7b-dpo",
base_provider = "NousResearch",
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
yi_34b = Model(
name = "yi-34b",
base_provider = "NousResearch",
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
hermes_3 = Model(
@ -374,7 +331,7 @@ phi_3_5_mini = Model(
gemini_pro = Model(
name = 'gemini-pro',
base_provider = 'Google DeepMind',
best_provider = IterListProvider([GeminiPro, LiteIcoding, Blackbox, AIChatFree, GPROChat, NexraGeminiPro, AmigoChat, Liaobots, Airforce])
best_provider = IterListProvider([GeminiPro, Blackbox, AIChatFree, GPROChat, AmigoChat, Liaobots, Airforce])
)
gemini_flash = Model(
@ -386,7 +343,7 @@ gemini_flash = Model(
gemini = Model(
name = 'gemini',
base_provider = 'Google DeepMind',
best_provider = IterListProvider([Gemini, gemini_flash.best_provider, gemini_pro.best_provider])
best_provider = Gemini
)
# gemma
@ -405,16 +362,13 @@ gemma_2b_27b = Model(
gemma_2b = Model(
name = 'gemma-2b',
base_provider = 'Google',
best_provider = IterListProvider([
ReplicateHome, Airforce,
gemma_2b_9b.best_provider, gemma_2b_27b.best_provider,
])
best_provider = IterListProvider([ReplicateHome, Airforce])
)
gemma_7b = Model(
name = 'gemma-7b',
base_provider = 'Google',
best_provider = IterListProvider([Cloudflare])
best_provider = Cloudflare
)
# gemma 2
@ -427,10 +381,7 @@ gemma_2_27b = Model(
gemma_2 = Model(
name = 'gemma-2',
base_provider = 'Google',
best_provider = IterListProvider([
ChatHub,
gemma_2_27b.best_provider,
])
best_provider = ChatHub
)
@ -441,15 +392,6 @@ claude_2_1 = Model(
best_provider = Liaobots
)
claude_2 = Model(
name = 'claude-2',
base_provider = 'Anthropic',
best_provider = IterListProvider([
You,
claude_2_1.best_provider,
])
)
# claude 3
claude_3_opus = Model(
name = 'claude-3-opus',
@ -469,14 +411,6 @@ claude_3_haiku = Model(
best_provider = IterListProvider([DDG, Airforce, Liaobots])
)
claude_3 = Model(
name = 'claude-3',
base_provider = 'Anthropic',
best_provider = IterListProvider([
claude_3_opus.best_provider, claude_3_sonnet.best_provider, claude_3_haiku.best_provider
])
)
# claude 3.5
claude_3_5_sonnet = Model(
name = 'claude-3.5-sonnet',
@ -484,16 +418,6 @@ claude_3_5_sonnet = Model(
best_provider = IterListProvider([Blackbox, Airforce, AmigoChat, Liaobots])
)
claude_3_5 = Model(
name = 'claude-3.5',
base_provider = 'Anthropic',
best_provider = IterListProvider([
LiteIcoding,
claude_3_5_sonnet.best_provider
])
)
### Reka AI ###
reka_core = Model(
@ -513,7 +437,7 @@ blackboxai = Model(
blackboxai_pro = Model(
name = 'blackboxai-pro',
base_provider = 'Blackbox AI',
best_provider = IterListProvider([Blackbox])
best_provider = Blackbox
)
@ -537,7 +461,7 @@ command_r_plus = Model(
sparkdesk_v1_1 = Model(
name = 'sparkdesk-v1.1',
base_provider = 'iFlytek',
best_provider = IterListProvider([FreeChatgpt])
best_provider = FreeChatgpt
)
@ -589,7 +513,7 @@ qwen_2_72b = Model(
qwen = Model(
name = 'qwen',
base_provider = 'Qwen',
best_provider = IterListProvider([NexraQwen, qwen_1_5_0_5b.best_provider, qwen_1_5_14b.best_provider, qwen_1_5_72b.best_provider, qwen_1_5_110b.best_provider, qwen_1_5_1_8b.best_provider, qwen_2_72b.best_provider])
best_provider = NexraQwen
)
@ -747,7 +671,7 @@ sonar_chat = Model(
mythomax_l2_13b = Model(
name = 'mythomax-l2-13b',
base_provider = 'Gryphe',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
@ -755,7 +679,7 @@ mythomax_l2_13b = Model(
cosmosrp = Model(
name = 'cosmosrp',
base_provider = 'Pawan',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
@ -763,7 +687,7 @@ cosmosrp = Model(
german_7b = Model(
name = 'german-7b',
base_provider = 'TheBloke',
best_provider = IterListProvider([Cloudflare])
best_provider = Cloudflare
)
@ -771,7 +695,7 @@ german_7b = Model(
tinyllama_1_1b = Model(
name = 'tinyllama-1.1b',
base_provider = 'Tinyllama',
best_provider = IterListProvider([Cloudflare])
best_provider = Cloudflare
)
@ -779,7 +703,7 @@ tinyllama_1_1b = Model(
cybertron_7b = Model(
name = 'cybertron-7b',
base_provider = 'Fblgit',
best_provider = IterListProvider([Cloudflare])
best_provider = Cloudflare
)
@ -789,64 +713,25 @@ cybertron_7b = Model(
#############
### Stability AI ###
sdxl_lora = Model(
name = 'sdxl-lora',
base_provider = 'Stability AI',
best_provider = IterListProvider([NexraSDLora])
)
sdxl_turbo = Model(
name = 'sdxl-turbo',
base_provider = 'Stability AI',
best_provider = IterListProvider([NexraSDTurbo])
)
sdxl = Model(
name = 'sdxl',
base_provider = 'Stability AI',
best_provider = IterListProvider([
ReplicateHome, NexraSD21, DeepInfraImage,
sdxl_lora.best_provider, sdxl_turbo.best_provider,
])
)
sd_1_5 = Model(
name = 'sd-1.5',
base_provider = 'Stability AI',
best_provider = IterListProvider([NexraSD15])
)
sd_2_1 = Model(
name = 'sd-2.1',
base_provider = 'Stability AI',
best_provider = IterListProvider([NexraSD21])
best_provider = IterListProvider([ReplicateHome, DeepInfraImage])
)
sd_3 = Model(
name = 'sd-3',
base_provider = 'Stability AI',
best_provider = IterListProvider([ReplicateHome])
best_provider = ReplicateHome
)
sd = Model(
name = 'sd',
base_provider = 'Stability AI',
best_provider = IterListProvider([sd_1_5.best_provider, sd_2_1.best_provider, sd_3.best_provider])
)
### Playground ###
playground_v2_5 = Model(
name = 'playground-v2.5',
base_provider = 'Playground AI',
best_provider = IterListProvider([ReplicateHome])
best_provider = ReplicateHome
)
@ -876,42 +761,42 @@ flux_realism = Model(
flux_anime = Model(
name = 'flux-anime',
base_provider = 'Flux AI',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
flux_3d = Model(
name = 'flux-3d',
base_provider = 'Flux AI',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
flux_disney = Model(
name = 'flux-disney',
base_provider = 'Flux AI',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
flux_pixel = Model(
name = 'flux-pixel',
base_provider = 'Flux AI',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
flux_4o = Model(
name = 'flux-4o',
base_provider = 'Flux AI',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
flux_schnell = Model(
name = 'flux-schnell',
base_provider = 'Flux AI',
best_provider = IterListProvider([ReplicateHome])
best_provider = ReplicateHome
)
@ -920,59 +805,43 @@ flux_schnell = Model(
dalle_2 = Model(
name = 'dalle-2',
base_provider = 'OpenAI',
best_provider = IterListProvider([NexraDallE2])
best_provider = NexraDallE2
)
dalle_3 = Model(
name = 'dalle-3',
base_provider = 'OpenAI',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
dalle = Model(
name = 'dalle',
base_provider = 'OpenAI',
best_provider = IterListProvider([NexraDallE, dalle_2.best_provider, dalle_3.best_provider])
best_provider = NexraDallE
)
dalle_mini = Model(
name = 'dalle-mini',
base_provider = 'OpenAI',
best_provider = IterListProvider([NexraDalleMini])
best_provider = NexraDalleMini
)
### Cagliostro Research Lab ###
animagine_xl = Model(
name = 'animagine-xl',
base_provider = 'Cagliostro Research Lab',
best_provider = IterListProvider([NexraAnimagineXL])
)
### Midjourney ###
midjourney = Model(
name = 'midjourney',
base_provider = 'Midjourney',
best_provider = IterListProvider([NexraMidjourney])
)
### Other ###
emi = Model(
name = 'emi',
base_provider = '',
best_provider = IterListProvider([NexraEmi])
best_provider = NexraEmi
)
any_dark = Model(
name = 'any-dark',
base_provider = '',
best_provider = IterListProvider([Airforce])
best_provider = Airforce
)
@ -1015,18 +884,15 @@ class ModelUtils:
'llama-2-13b': llama_2_13b,
# llama-3
'llama-3': llama_3,
'llama-3-8b': llama_3_8b,
'llama-3-70b': llama_3_70b,
# llama-3.1
'llama-3.1': llama_3_1,
'llama-3.1-8b': llama_3_1_8b,
'llama-3.1-70b': llama_3_1_70b,
'llama-3.1-405b': llama_3_1_405b,
# llama-3.2
'llama-3.2': llama_3_2,
'llama-3.2-1b': llama_3_2_1b,
'llama-3.2-3b': llama_3_2_3b,
'llama-3.2-11b': llama_3_2_11b,
@ -1074,17 +940,14 @@ class ModelUtils:
### Anthropic ###
'claude-2': claude_2,
'claude-2.1': claude_2_1,
# claude 3
'claude-3': claude_3,
'claude-3-opus': claude_3_opus,
'claude-3-sonnet': claude_3_sonnet,
'claude-3-haiku': claude_3_haiku,
# claude 3.5
'claude-3.5': claude_3_5,
'claude-3.5-sonnet': claude_3_5_sonnet,
@ -1213,11 +1076,6 @@ class ModelUtils:
### Stability AI ###
'sdxl': sdxl,
'sdxl-lora': sdxl_lora,
'sdxl-turbo': sdxl_turbo,
'sd': sd,
'sd-1.5': sd_1_5,
'sd-2.1': sd_2_1,
'sd-3': sd_3,
@ -1244,14 +1102,6 @@ class ModelUtils:
'dalle-mini': dalle_mini,
### Cagliostro Research Lab ###
'animagine-xl': animagine_xl,
### Midjourney ###
'midjourney': midjourney,
### Other ###
'emi': emi,
'any-dark': any_dark,