alphard/Bjornulf_custom_nodes
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2024-09-23 15:14:20 +02:00
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README.md
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# 🔗 Comfyui : Bjornulf_custom_nodes v0.42 🔗
# 🔗 Comfyui : Bjornulf_custom_nodes v0.43 🔗
# Coffee : ☕☕☕☕☕ 5/5
@@ -71,6 +71,7 @@
## 🦙 AI 🦙
`19.` [🦙 Ollama](#19----ollama)
`31.` [🔊 TTS - Text to Speech](#31----tts---text-to-speech-100-local-any-voice-you-want-any-language)
## 🔊 Audio 🔊
`31.` [🔊 TTS - Text to Speech](#31----tts---text-to-speech-100-local-any-voice-you-want-any-language)
@@ -211,6 +212,7 @@ cd /where/you/installed/ComfyUI && python main.py
- **v0.40**: Add variables management to Loop Advanced Write Text node. Add menu for all nodes to the README.
- **v0.41**: Two new nodes : image details and combine images. Also ❗ Big changes to the If-Else node. (+many minor changes)
- **v0.42**: Better README with category nodes, changes some node titles
- **v0.43**: Add control_after_generate to Ollama and allow to keep in VRAM for 1 minute if needed. (For chaining quick generations.) Add fallback to 0.0.0.0
# 📝 Nodes descriptions
@@ -367,12 +369,20 @@ Save image in a specific folder : `my_folder/00001.png`, `my_folder/00002.png`,
Also allow multiple nested folders, like for example : `animal/dog/small`.
## 19 - 🦙 Ollama
![Show Text](screenshots/ollama.png)
![Ollama](screenshots/ollama_1.png)
**Description:**
Will generate detailed text based of what you give it.
I recommend using `mistral-nemo` if you can run it, but it's up to you. (Might have to tweak the system prompt a bit)
⚠️ Warning : Having an ollama node that will run for each generation might be a bit heavy on your VRAM. Think about if you really need it or not.
You also have `control_after_generate` to force the node to rerun for every workflow run. (Even if there is no modification of the node or its inputs.)
You have the option to keep in in you VRAM for a minute with `keep_1min_in_vram`. (If you plan having to generate many times with the same prompt)
Each run will be significantly faster, but not free your VRAM for something else.
![Ollama](screenshots/ollama_2.png)
⚠️ Warning : Using `keep_1min_in_vram` might be a bit heavy on your VRAM. Think about if you really need it or not. Most of the time, when using `keep_1min_in_vram`, you don't want to have also a generation of image or anything else in the same time.
## 20 - 📹 Video Ping Pong
![Video Ping Pong](screenshots/video_pingpong.png)