ZIB results looking awful, what's the secret?
For the life of me I can't get any decent results from ZIB, and I mean even SD1.5 decent. Example below.
I'm using the most basic workflow ever, CFG 4, tried any step amount from 15 to 50. Bunch of stuff in the negative prompt and nothing at all (no big difference). Euler Simple, rendering at SDXL resolutions (1024) or Qwen (1328) and... yeah just look at it.
How do you guys get good results with Base, what's the secret? (Or should I say, what's breaking my generations here)
https://preview.redd.it/eisdg0w3v23h1.png?width=1086&format=png&auto=webp&s=0ff342b555ebe4102bd49282e40ae06676769cbf
https://redd.it/1tmaq4s
@rStableDiffusion
For the life of me I can't get any decent results from ZIB, and I mean even SD1.5 decent. Example below.
I'm using the most basic workflow ever, CFG 4, tried any step amount from 15 to 50. Bunch of stuff in the negative prompt and nothing at all (no big difference). Euler Simple, rendering at SDXL resolutions (1024) or Qwen (1328) and... yeah just look at it.
How do you guys get good results with Base, what's the secret? (Or should I say, what's breaking my generations here)
https://preview.redd.it/eisdg0w3v23h1.png?width=1086&format=png&auto=webp&s=0ff342b555ebe4102bd49282e40ae06676769cbf
https://redd.it/1tmaq4s
@rStableDiffusion
MooshieUI: a beginner-friendly ComfyUI front-end with strong Anima support
https://redd.it/1tmchg1
@rStableDiffusion
https://redd.it/1tmchg1
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit: MooshieUI: a beginner-friendly ComfyUI front-end with strong Anima support
Explore this post and more from the StableDiffusion community
Crucible - local open source application for dataset handling
Hi,
I've created Crucible, a local dataset management app aimed at diffusion models. No cloud, no subscriptions, runs on your own hardware. Developed for myself but decided to open source.
Video showcase: https://www.youtube.com/watch?v=Ig4j5ijovCI
Github: https://github.com/Blandmarrow/Crucible
Key features:
Caption images in batch using local ML models (Ollama, Florence-2, PaliGemma-2)
Score every image across aesthetic quality, technical quality, watermark detection, and style similarity
ML upscaling and LUT color grading
Filter & curate via search, quality flags, and score ranges
Batch edit captions, crops, and resizes
Version datasets with named snapshots and branches — restore any prior state
Object detection and phrase grounding via Florence-2 bounding-box detection
Built-in file browser with generation metadata preview (A1111 + ComfyUI)
Export to Kohya, AI Toolkit, or plain folder with per-export filtering and resizing
Split view — run any two pages side-by-side
I'll keep updating it as my own workflow evolves. Would love feedback on what's missing, particularly around features and perhaps integrations you'd find useful.
I have some automated workflows planned for creating datasets and training them utilizing this application but nothing concrete to show right now if anyone would be interested in that.
https://preview.redd.it/njfdatfpl23h1.png?width=1908&format=png&auto=webp&s=4631099ad036f269590e0273fde5f6d0fa48b459
https://preview.redd.it/xobpp25ql23h1.png?width=3835&format=png&auto=webp&s=9cc09b5b9143a63cb19e67ea02278d4c6c1c4dc4
https://preview.redd.it/tw4qe3jrl23h1.png?width=1920&format=png&auto=webp&s=6c88f0b00824efae9c553bfd7a5aba2fc785949c
https://redd.it/1tmb7n7
@rStableDiffusion
Hi,
I've created Crucible, a local dataset management app aimed at diffusion models. No cloud, no subscriptions, runs on your own hardware. Developed for myself but decided to open source.
Video showcase: https://www.youtube.com/watch?v=Ig4j5ijovCI
Github: https://github.com/Blandmarrow/Crucible
Key features:
Caption images in batch using local ML models (Ollama, Florence-2, PaliGemma-2)
Score every image across aesthetic quality, technical quality, watermark detection, and style similarity
ML upscaling and LUT color grading
Filter & curate via search, quality flags, and score ranges
Batch edit captions, crops, and resizes
Version datasets with named snapshots and branches — restore any prior state
Object detection and phrase grounding via Florence-2 bounding-box detection
Built-in file browser with generation metadata preview (A1111 + ComfyUI)
Export to Kohya, AI Toolkit, or plain folder with per-export filtering and resizing
Split view — run any two pages side-by-side
I'll keep updating it as my own workflow evolves. Would love feedback on what's missing, particularly around features and perhaps integrations you'd find useful.
I have some automated workflows planned for creating datasets and training them utilizing this application but nothing concrete to show right now if anyone would be interested in that.
https://preview.redd.it/njfdatfpl23h1.png?width=1908&format=png&auto=webp&s=4631099ad036f269590e0273fde5f6d0fa48b459
https://preview.redd.it/xobpp25ql23h1.png?width=3835&format=png&auto=webp&s=9cc09b5b9143a63cb19e67ea02278d4c6c1c4dc4
https://preview.redd.it/tw4qe3jrl23h1.png?width=1920&format=png&auto=webp&s=6c88f0b00824efae9c553bfd7a5aba2fc785949c
https://redd.it/1tmb7n7
@rStableDiffusion
YouTube
Showcase of Crucible
A short video showcasing some of the features of the Crucible application.
https://github.com/Blandmarrow/Crucible
https://github.com/Blandmarrow/Crucible
SD-WebUI-Codex + "Z-Image 6B with pixel space gen. No VAE.." thread
https://redd.it/1tmfc4a
@rStableDiffusion
https://redd.it/1tmfc4a
@rStableDiffusion