Instructions to use dataautogpt3/ProteusV0.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dataautogpt3/ProteusV0.2 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/ProteusV0.2", dtype=torch.bfloat16, device_map="cuda") prompt = "black fluffy gorgeous dangerous cat animal creature, large orange eyes, big fluffy ears, piercing gaze, full moon, dark ambiance, best quality, extremely detailed" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
licensing
again about licensing,
as i see this, comercial use of model is not allowed,
but at least in Civitai, licence used "CreativeML Open RAIL++-M"
allows for commercial uses of images created with this model. is that correct?
i see you already changed licensing on proteus on civitai,
is the same should be in place for opendalle there? on civitai opendall permit to create images and use them commercialy
ps: i understand your concern, but its rather sad you need to make it so restrictive. as it is now, it almost useless
i see you went all in on civitai with restrictions....
i just open sourced it for commercial use
may i ask why you changed your mind?
after my initial phase of fascination i come to conclusion that it is very hard to get images that will follow what you intend to have. (its for whole sd/sdxl family, not only your model)