Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
dalle
mj
dreamdrop
openskyml
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
DreamDrop V1 (mod. for Deliberate V5)
This is a new modern model trained on Deliberate V5 with LoRA - MJLora.
Optimal settings in Automatic1111:
steps - 20-22;
cfg scale - 7-8;
sampler - DPM++ 2M Karras/UniPC;
optimal negative prompt - (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly , disgusting, blurry, amputation;
addition to the 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;
Use and improve, there are many versions of the model in the Files tab!
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-4.0. Thank you very much XpucT!
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