Loading
Have a ComfyUI workflow? Get a readable Workflow Doc in your browser.Make a workflow readable.Try it now ↗
Resource directory
Search Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
17 shown of 26,625
I suddenly realized that I haven't published a checkpoint for ZIT. This checkpoint was created a month ago.therefore, many original images are no longer valid, and I'm not sure if I can post them. If you need to see...
Improved prompt adherence for clothing details, garment types and color accuracy
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
Same "style" as v2 but a bit more sharper.
Images are generated without LoRAs, using detailers. Example prompts can be found in the preview images.
Attempt to sloppify Mugen SDXL, was trained with 3.7k images actually handpicked (unlike other liars) for 150 epochs on 1536 target resolution.
Back after a couple of weeks' distraction working on other projects.
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the...
Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the...
Disclaimer: The model card is taken and modified from the official CLIP repository, it can be found here.
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
Blog | Technical Report | AWS SageMaker | Nomic Platform
Model List | FAQ | Usage | Evaluation | Train | Contact | Citation | License
Figure 1: ColBERT's late interaction, efficiently scoring the fine-grained similarity between a queries and a passage.
☺ showcase 832x1216 without Adetailer or Hires
