This media is not supported in your browser
VIEW IN TELEGRAM
Wan 2.2 based model with weird saturation hue changes on Anime Video generation
https://redd.it/1sdzt08
@rStableDiffusion
https://redd.it/1sdzt08
@rStableDiffusion
Magihuman now on Wan2gp
Its out people. What kind of gens are you getting out of it?
https://huggingface.co/DeepBeepMeep/MagiHuman
https://redd.it/1se5o3k
@rStableDiffusion
Its out people. What kind of gens are you getting out of it?
https://huggingface.co/DeepBeepMeep/MagiHuman
https://redd.it/1se5o3k
@rStableDiffusion
I spent 3 months evolving SmartGallery into a free professional Local First DAM. v2.11 launches on April 9th
https://preview.redd.it/btvzkruzemtg1.png?width=1899&format=png&auto=webp&s=3891b8f2a7df98942a0643eb649e623f817211ae
Hi everyone!
Many of you know SmartGallery as a standalone gallery for ComfyUI. For the last 3 months, I have been working to turn it into a complete Digital Asset Manager (DAM) for AI creators.
I just launched the new website with the full documentation and feature list of the upcoming v2.11: [https://smartgallerydam.com](https://smartgallerydam.com)
The new v2.11 with all the DAM features will be officially released this Thursday, April 9th.
Important note on versions: If you visit my GitHub repo today, you will find the current v1.55. It is a solid and functional standalone gallery [https://github.com/biagiomaf/smart-comfyui-gallery](https://github.com/biagiomaf/smart-comfyui-gallery)
I would love to get some early feedback on the the features before the official push on Thursday. Does this look like something that would fit your workflow?
Don't worry: all your current setup and database data will work perfectly in the new version, always free and open source.
https://redd.it/1se8sfd
@rStableDiffusion
https://preview.redd.it/btvzkruzemtg1.png?width=1899&format=png&auto=webp&s=3891b8f2a7df98942a0643eb649e623f817211ae
Hi everyone!
Many of you know SmartGallery as a standalone gallery for ComfyUI. For the last 3 months, I have been working to turn it into a complete Digital Asset Manager (DAM) for AI creators.
I just launched the new website with the full documentation and feature list of the upcoming v2.11: [https://smartgallerydam.com](https://smartgallerydam.com)
The new v2.11 with all the DAM features will be officially released this Thursday, April 9th.
Important note on versions: If you visit my GitHub repo today, you will find the current v1.55. It is a solid and functional standalone gallery [https://github.com/biagiomaf/smart-comfyui-gallery](https://github.com/biagiomaf/smart-comfyui-gallery)
I would love to get some early feedback on the the features before the official push on Thursday. Does this look like something that would fit your workflow?
Don't worry: all your current setup and database data will work perfectly in the new version, always free and open source.
https://redd.it/1se8sfd
@rStableDiffusion
Inpainting with reference to LTX-2.3 (MR2V)
Hey everyone, today I’m sharing an experimental IC LoRA I trained for LTX-2.3. It allows you to do reference-based inpainting inside a masked region in video.
This LoRA is still experimental, so don’t expect something fully polished yet, but it already works pretty well — especially when the prompt contains enough detail and the mask is large enough to properly fit the object you want to place.
I’m sharing everything here for anyone who wants to test it:
Hugging Face repo:
https://huggingface.co/Alissonerdx/LTX-LoRAs
Direct model download:
https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/ltx23\_inpaint\_masked\_r2v\_rank32\_v1\_3000steps.safetensors
Workflow:
https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/workflows/ltx23\_masked\_ref\_inpaint\_v1.json
Civitai page:
https://civitai.com/models/2484952
It can also work as text-to-video if you use a blank reference and describe everything only in the prompt.
Important note: this LoRA was not trained for body, head, face swap, or similar inpainting use cases. It was trained mainly for objects. If you want to do head swap, use my head swap LoRA called BFS instead.
Since this is still experimental, feedback, tests, and results are very welcome.
https://reddit.com/link/1secygl/video/bxrfa5bu7ntg1/player
https://reddit.com/link/1secygl/video/813vpjdh6ntg1/player
https://reddit.com/link/1secygl/video/jqnwx9bi6ntg1/player
https://redd.it/1secygl
@rStableDiffusion
Hey everyone, today I’m sharing an experimental IC LoRA I trained for LTX-2.3. It allows you to do reference-based inpainting inside a masked region in video.
This LoRA is still experimental, so don’t expect something fully polished yet, but it already works pretty well — especially when the prompt contains enough detail and the mask is large enough to properly fit the object you want to place.
I’m sharing everything here for anyone who wants to test it:
Hugging Face repo:
https://huggingface.co/Alissonerdx/LTX-LoRAs
Direct model download:
https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/ltx23\_inpaint\_masked\_r2v\_rank32\_v1\_3000steps.safetensors
Workflow:
https://huggingface.co/Alissonerdx/LTX-LoRAs/blob/main/workflows/ltx23\_masked\_ref\_inpaint\_v1.json
Civitai page:
https://civitai.com/models/2484952
It can also work as text-to-video if you use a blank reference and describe everything only in the prompt.
Important note: this LoRA was not trained for body, head, face swap, or similar inpainting use cases. It was trained mainly for objects. If you want to do head swap, use my head swap LoRA called BFS instead.
Since this is still experimental, feedback, tests, and results are very welcome.
https://reddit.com/link/1secygl/video/bxrfa5bu7ntg1/player
https://reddit.com/link/1secygl/video/813vpjdh6ntg1/player
https://reddit.com/link/1secygl/video/jqnwx9bi6ntg1/player
https://redd.it/1secygl
@rStableDiffusion
huggingface.co
Alissonerdx/LTX-LoRAs · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.