Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
stable-diffusion
comics
x-men
illlustration
Instructions to use EnD-Diffusers/Gambit_and_Rogue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/Gambit_and_Rogue with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/Gambit_and_Rogue", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 81af3f07703b19547836c042606a359076ccd58fbf700fc03e301088826b6516
- Size of remote file:
- 246 MB
- SHA256:
- ed553b65d8e533618e65b1bc742c868469705e9429d518b7b8117ff58cd758ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.