File size: 1,096 Bytes
58c041b aaf30a1 e3ed172 aaf30a1 58c041b aaf30a1 1c718bb e3ed172 1c718bb e3ed172 1c718bb aaf30a1 1c718bb bb28e2e 36baa94 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 |
---
license: creativeml-openrail-m
datasets:
- ChristophSchuhmann/improved_aesthetics_6plus
- drhead/laion_hd_21M_deduped
pipeline_tag: text-to-image
---
Currently released models:
**ZeroDiffusion-Base v0.9** (zd_base_v0-9 and zd_base_v0-9_ema) - a base model trained on zero terminal SNR over roughly 20 million samples
**ZeroDiffusion-Inpaint v0.9** (zd_inpaint_v0-9 and zd_inpaint_v0-9_ema) - an experimental finetune of the stable-diffusion-inpainting model, initialized from a merge of ZD 0.9
The intention of this model is to provide a training base for other models, and to provide researchers with a clean model base to test zero terminal SNR with.
For this model to work well, you will probably need CFG rescale, which is implemented in this plugin: https://github.com/Seshelle/CFG_Rescale_webui
You must also download the corresponding YAML file and put it in the folder with the model (assuming you are using A1111's webui or similar). It won't work without it. It will tell webui to use the model in v-prediction mode.
Trained as part of Google's TPU Research Cloud program. |