Instructions to use darkstorm2150/Protogen_v2.2_Official_Release with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use darkstorm2150/Protogen_v2.2_Official_Release with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("darkstorm2150/Protogen_v2.2_Official_Release", 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 Settings
- Draw Things
- DiffusionBee
does this model trained? or merged?
Hi!, Thanks for releasing this awsome model!
I'm trying to finetuning models like yours.
but I have some questions.
in README.md at General info tab, it says that "Protogen was warm-started with Stable Diffusion v1-5 and fine-tuned on a large amount of data from large datasets new and trending on civitai.com.".
but at the end of the file there is a tab about "Checkpoint Merging Data Reference", which looks like what checkpoint's are used to merge this model.
does this model trained? or merged?
thanks.
ps. is there any Granular Adaptive Learning implementation? I can't find any....
@mooon1234 this model was checkpoint merged, the Granular Adaptive Learning is just a fancy word for a successful merge.