Instructions to use DESSEP/DreamCORE-v1.0_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DESSEP/DreamCORE-v1.0_base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DESSEP/DreamCORE-v1.0_base", 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
Text dataset for using
#2
by miasik - opened
I would like to feed my LLM the text part of the used dataset to help the LLM generate prompts.
Is it possible to obtain it?
DreamCORE_[base] is a commercial project, and the dataset and training methods are proprietary.
However, I can provide you with some of the text training data, provided that you DO NOT make it publicly available.
I can send it to you by email, provided that you use it EXCLUSIVELY IN TEACHING your LLM.
Well, as I see, I may use the "open" version. Could its text dataset be published?
Write me an email and I will send you a set of text prompts from "DreamCORE [open]"
zakaznadizain@gmail.com