Stable Flow: Vital Layers for Training-Free Image Editing
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kabermanĀ
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about 1 month ago
multimodalartĀ
posted
an
update
6 months ago
Post
20778
New feature š„
Image models and LoRAs now have little previews š¤
If you don't know where to start to find them, I invite you to browse cool LoRAs in the profile of some amazing fine-tuners: @artificialguybr , @alvdansen , @DoctorDiffusion , @e-n-v-y , @KappaNeuro @ostris
Image models and LoRAs now have little previews š¤
If you don't know where to start to find them, I invite you to browse cool LoRAs in the profile of some amazing fine-tuners: @artificialguybr , @alvdansen , @DoctorDiffusion , @e-n-v-y , @KappaNeuro @ostris
- 2 replies
wangkua1Ā
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7 months ago
amildravid4292Ā
authored
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7 months ago
multimodalartĀ
posted
an
update
8 months ago
Post
26131
The first open Stable Diffusion 3-like architecture model is JUST out š£ - but it is not SD3! š¤
It is Tencent-Hunyuan/HunyuanDiT by Tencent, a 1.5B parameter DiT (diffusion transformer) text-to-image model š¼ļøāØ, trained with multi-lingual CLIP + multi-lingual T5 text-encoders for english š¤ chinese understanding
Try it out by yourself here ā¶ļø https://huggingface.co/spaces/multimodalart/HunyuanDiT
(a bit too slow as the model is chunky and the research code isn't super optimized for inference speed yet)
In the paper they claim to be SOTA open source based on human preference evaluation!
It is Tencent-Hunyuan/HunyuanDiT by Tencent, a 1.5B parameter DiT (diffusion transformer) text-to-image model š¼ļøāØ, trained with multi-lingual CLIP + multi-lingual T5 text-encoders for english š¤ chinese understanding
Try it out by yourself here ā¶ļø https://huggingface.co/spaces/multimodalart/HunyuanDiT
(a bit too slow as the model is chunky and the research code isn't super optimized for inference speed yet)
In the paper they claim to be SOTA open source based on human preference evaluation!
wangkua1Ā
authored
a
paper
9 months ago
multimodalartĀ
posted
an
update
10 months ago
Post
The Stable Diffusion 3 research paper broken down, including some overlooked details! š
Model
š 2 base model variants mentioned: 2B and 8B sizes
š New architecture in all abstraction levels:
- š½ UNet; ā¬ļø Multimodal Diffusion Transformer, bye cross attention š
- š Rectified flows for the diffusion process
- š§© Still a Latent Diffusion Model
š 3 text-encoders: 2 CLIPs, one T5-XXL; plug-and-play: removing the larger one maintains competitiveness
šļø Dataset was deduplicated with SSCD which helped with memorization (no more details about the dataset tho)
Variants
š A DPO fine-tuned model showed great improvement in prompt understanding and aesthetics
āļø An Instruct Edit 2B model was trained, and learned how to do text-replacement
Results
ā State of the art in automated evals for composition and prompt understanding
ā Best win rate in human preference evaluation for prompt understanding, aesthetics and typography (missing some details on how many participants and the design of the experiment)
Paper: https://stabilityai-public-packages.s3.us-west-2.amazonaws.com/Stable+Diffusion+3+Paper.pdf
Model
š 2 base model variants mentioned: 2B and 8B sizes
š New architecture in all abstraction levels:
- š½ UNet; ā¬ļø Multimodal Diffusion Transformer, bye cross attention š
- š Rectified flows for the diffusion process
- š§© Still a Latent Diffusion Model
š 3 text-encoders: 2 CLIPs, one T5-XXL; plug-and-play: removing the larger one maintains competitiveness
šļø Dataset was deduplicated with SSCD which helped with memorization (no more details about the dataset tho)
Variants
š A DPO fine-tuned model showed great improvement in prompt understanding and aesthetics
āļø An Instruct Edit 2B model was trained, and learned how to do text-replacement
Results
ā State of the art in automated evals for composition and prompt understanding
ā Best win rate in human preference evaluation for prompt understanding, aesthetics and typography (missing some details on how many participants and the design of the experiment)
Paper: https://stabilityai-public-packages.s3.us-west-2.amazonaws.com/Stable+Diffusion+3+Paper.pdf
- 3 replies
multimodalartĀ
posted
an
update
11 months ago
Post
āļø The TIGERLab's Text2Image arena is here! āļø
TIGER-Lab/GenAI-Arena
Like https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard for LLMs: you prompt, two images emerge, vote for the best one š
With enough votes this will lead to an Elo-based leaderboard for text-to-image models, go vote! š³ļø
TIGER-Lab/GenAI-Arena
TIGER-Lab/GenAI-Arena
Like https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard for LLMs: you prompt, two images emerge, vote for the best one š
With enough votes this will lead to an Elo-based leaderboard for text-to-image models, go vote! š³ļø
TIGER-Lab/GenAI-Arena
multimodalartĀ
posted
an
update
11 months ago
Post
It seems February started with a fully open source AI renaissance š
Models released with fully open dataset, training code, weights ā
LLM - allenai/olmo-suite-65aeaae8fe5b6b2122b46778 š§
Embedding - nomic-ai/nomic-embed-text-v1 š (sota!)
And it's literally February 1st - can't wait to see what else the community will bring š
Models released with fully open dataset, training code, weights ā
LLM - allenai/olmo-suite-65aeaae8fe5b6b2122b46778 š§
Embedding - nomic-ai/nomic-embed-text-v1 š (sota!)
And it's literally February 1st - can't wait to see what else the community will bring š
linoytsĀ
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about 1 year ago
multimodalartĀ
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wangkua1Ā
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over 1 year ago
linoytsĀ
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multimodalartĀ
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over 1 year ago
wangkua1Ā
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over 1 year ago