Instructions to use dataautogpt3/ProteusSigma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusSigma with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dataautogpt3/ProteusSigma", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -182,6 +182,16 @@ function showImage(src) {
|
|
| 182 |
|
| 183 |
# Combined Proteus and Mobius datasets with ZTSNR and NovelAI V3 Improvements
|
| 184 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 185 |
## Model Details
|
| 186 |
|
| 187 |
- **Model Type:** SDXL Fine-tuned with ZTSNR and NovelAI V3 Improvements
|
|
|
|
| 182 |
|
| 183 |
# Combined Proteus and Mobius datasets with ZTSNR and NovelAI V3 Improvements
|
| 184 |
|
| 185 |
+
CUSTOM INFERENCE IS REQUIRED FOR BEST RESULTS!
|
| 186 |
+
|
| 187 |
+
https://github.com/DataCTE/SDXL-Training-Improvements/tree/main/Comfyui-zsnrnode
|
| 188 |
+
|
| 189 |
+
use this comfyui custom node from the training repo.
|
| 190 |
+
|
| 191 |
+
and the workflow here: https://github.com/DataCTE/SDXL-Training-Improvements/blob/main/Comfyui-zsnrnode/ztsnr%2Bv-pred.json
|
| 192 |
+
|
| 193 |
+
|
| 194 |
+
|
| 195 |
## Model Details
|
| 196 |
|
| 197 |
- **Model Type:** SDXL Fine-tuned with ZTSNR and NovelAI V3 Improvements
|