Instructions to use Yntec/DramaLlama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/DramaLlama with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/DramaLlama", 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
Drama Llama
It really whips the llama's ass!
Samples and prompts:
(Click for larger)
Top left: vintage action movie still cinematic dramatic kraken octopus with terrifying tentacles attacking miniature pirate ships crew at sunset night
Top right: photograph, a mysterious fantasy subterranean megacity at the beginning of time, masterpiece, by Dmitry Vishnevsky
Bottom left: photograph, morning, blue sky, clouds, architecture, steampunk E-Boy highrise apartment in a downtown
Bottom right: pretty Cute blue haired girl riding Fortnite Supply Llama forest, night, fantasy, magic, close-up, iridescent, luminescent, jewels
A mix of DreamShaper 8 and DreamShaper 6.2 with dramatic models to enhance this style. For an artistic version check out: https://huggingface.co/Yntec/DreamlikeShaper
Original pages:
https://civitai.com/models/4384?modelVersionId=128713 (DreamShaper 8)
https://civitai.com/models/4384?modelVersionId=88504 (DreamShaper 6.2)
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