Instructions to use OFT/MODEL_SD15_RockRaiderRuby_v01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use OFT/MODEL_SD15_RockRaiderRuby_v01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OFT/MODEL_SD15_RockRaiderRuby_v01", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of the sunset" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#4
by OFT - opened
Generated example for model OFT/MODEL_SD15_RockRaiderRuby_v01.
Prompt: photo of rockraiderruby in fallout76, detailed, smooth, sharp focus, no blur, no dof, ultra realism, lighting, ultra-detailed, professional photography, photo-realism, realistic, award winning photography, dslr, highest quality, insanely detailed, highly detailed portrait, 35 mm, 8k, sharp, highly detailed skin, hyper realistic, realistic face, unity 8k wallpaper, ultra high res, photorealistic, real picture, intricate details, ultra highres, masterpiece, (best quality:1.1), 4k, uhd, highres, awardwinning picture, score_9, score_8_up, score_7_up, masterpiece, (best quality:1.1), 4k,, uhd, highres
OFT changed pull request status to merged