Instructions to use ehristoforu/dreamdrop with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ehristoforu/dreamdrop with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ehristoforu/dreamdrop", dtype=torch.bfloat16, device_map="cuda") prompt = "epic realistic, faded, ((neutral colors)), art, (hdr:1.5), (muted colors:1.2), pastel, hyperdetailed, (artstation:1.5), warm lights, dramatic light, (intricate details:1.2), vignette, complex background, rutkowski" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
π© Report: Legal issue(s)
Hi @XpucT , can you please detail your claim with regard to the license and how this model infringes it?
Pinging @ehristoforu who seems to be the maintainer of this model to make sure they see this report; please don't hesitate to reply to @XpucT 's claim directly in this discussion.
Thanks!
@XpucT . Thank you for pointing out my mistake, I am your big fan and I think that your models are the best, I have read the license, I will indicate the authorship, I have indicated the changes made, and I do not use them for commercial purposes, if further complaints arise against me, I am ready for everything fix it, thanks! (https://hf.co/openskyml/dreamdrop-v1#the-model-was-created-by-xpuct-and-we-are-just-updating-the-model-use-the-model-for-non-commercial-purposes-according-to-the-deliberate-license---cc-by-nc-nd-40-thank-you-very-much-xpuct)
Hi @XpucT , can you please detail your claim with regard to the license and how this model infringes it?
Hey π
Look carefully β https://huggingface.co/XpucT/Deliberate#license-cc-by-nc-nd-40