言語から画像、オープンウェイトからAPIまで。能力と実際の費用を比較。
次のアイデアに合うAIを見つけましょう。
See https://comfyanonymous.github.io/ComfyUI_examples/audio/ or https://docs.comfy.org/tutorials/audio/ace-step/ace-step-v1 for how to use it in ComfyUI. ACE Step v1 M2M Editing ACE-Step v1 Text to Instrumentals Music ACE Step v1 Text to Song
翻訳待ち・原文を表示
These are repackaged files to work with ComfyUI, original model repo is: https://huggingface.co/ACE-Step/Ace-Step1.5 ACE-Step 1.5XL Turbo: Text to Music ACE-Step 1.5XL SFT： Text to Music ACE-Step 1.5 Music Generation AIO ACE-Step 1.5XL Base: Text to Music ACE-Step 1.5 Music Generation Workflow ACE-Step 1.5 AI Lyric Song Generation ACE-Step 1.5 Music Generation (4B LLM )
翻訳待ち・原文を表示
Anima Lllite: Any Control to Image Before After Anima Lllite: Depth Control to Image Before After Anima Lllite: Image Inpainting Before After
翻訳待ち・原文を表示
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
- https://huggingface.co/ZhengPeng7/BiRefNet - https://huggingface.co/egeorcun/lucida
翻訳待ち・原文を表示
Boogu image 0.1 Edit Int8 Before After Boogu image 0.1 Edit Before After Boogu Turbo: Text to Image
翻訳待ち・原文を表示
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Original model repository: - https://huggingface.co/lodestones/Chroma1-HD - https://huggingface.co/silveroxides/Chroma1-HD-fp8-scaled - Chroma1-HD.safetensors by lodestones - Chroma1-HD-fp8mixed.safetensors by silveroxides
翻訳待ち・原文を表示
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
- https://github.com/ByteDance-Seed/Depth-Anything-3 - https://huggingface.co/depth-anything/DA3-BASE - https://huggingface.co/depth-anything/DA3METRIC-LARGE - https://huggingface.co/depth-anything/DA3MONO-LARGE - https://huggingface.co/depth-anything/DA3-SMALL Depth Map: Depth Anything 3 Before After Depth Estimation: Depth Anything 3 Before After
翻訳待ち・原文を表示
- https://huggingface.co/baidu/ERNIE-Image - https://huggingface.co/baidu/ERNIE-Image-Turbo
翻訳待ち・原文を表示
- https://huggingface.co/briaai/Fibo-2.0-dev - https://huggingface.co/briaai/Fibo-2.0-edit-turbo The model weights are © BRIA AI and licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). You may use them for non-commercial purposes only. Commercial use requires a separate agreement with BRIA AI: https://platform.bria.ai/licensing/pricing?model=fibo-2 The weights are provided as is, without warranties of any kind. See Section 5 of the license (Disclaimer of Warranties and Limitation of Liability).
翻訳待ち・原文を表示
This is a smaller checkpoint for flux1-dev that will work better for ComfyUI users with less VRAM (under 24gb). Flux.1 Inpaint Before After Flux.1 Dev USO Reference Image Generation Before After Flux.1 Outpaint Before After Flux.1 Dev fp8: Text to Image Flux.1 Dev: Text to Image Flux.1 Canny Model Before After Flux.1 Depth Lora Before After Flux.1 Redux Model
翻訳待ち・原文を表示
Original model repository: https://huggingface.co/black-forest-labs/FLUX.1-Kontext-dev https://comfyanonymous.github.io/ComfyUI_examples/flux/#flux-kontext-image-editing-model
翻訳待ち・原文を表示
Original model repository: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev All diffusion model files in this repo are licensed the same as the ones in the original repo: https://huggingface.co/black-forest-labs/FLUX.1-Krea-dev The files in this repo are best used with ComfyUI using the Flux examples.
翻訳待ち・原文を表示
基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
Original model repository: https://huggingface.co/black-forest-labs/FLUX.1-schnell This flux1-schnell model has weights in FP8, which makes running in ComfyUI much faster and use less memory.
翻訳待ち・原文を表示
These are quantized weights. The original FLUX.2 repo is here: FLUX.2-dev. - Flux2TurboComfyv2.safetensors by ByteZSzn - Flux_2-Turbo-LoRA_comfyui.safetensors by ByteZSzn Flux.2 Dev Before After Flux.2 Dev Text to Image Product Mockup(Flux.2 Dev FP8)
翻訳待ち・原文を表示
- https://huggingface.co/black-forest-labs/FLUX.2-klein-4B - https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B
翻訳待ち・原文を表示
Original model repository: https://huggingface.co/black-forest-labs/FLUX.2-klein-9B
翻訳待ち・原文を表示
- https://github.com/hzwer/Practical-RIFE - https://github.com/google-research/frame-interpolation
翻訳待ち・原文を表示
- https://huggingface.co/google/gemma-4-E2B-it - https://huggingface.co/google/gemma-4-E4B-it
翻訳待ち・原文を表示
提供元・分類・入出力の条件を変更してください。新しいモデルを随時追加しています。
月間トークン数を調整してAPI費用を比較。
収集済みの比較可能な100万トークン当たり米ドル料金です。キャッシュ割引、段階料金、追加推論出力、税金は含みません。最新料金は出典で確認してください。
入力・出力・キャッシュ料金を分け、同じ用途と使用量で総費用を比較します。画像・音声・動画は枚数、時間、解像度で課金される場合があります。
必ずしもそうではありません。バージョンごとのライセンス、商用制限、ポリシーを確認してください。自前運用には計算資源と保守費用も必要です。
順位はテスト、バージョン、評価方法によります。実際の業務データで精度、遅延、安定性、費用を比較してください。
