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:
- 4b9aae87587d03c86db02ce4ed751b86783fb785762d162098cd9d149db37d67
- Size of remote file:
- 2.13 GB
- SHA256:
- b153bd10f8d76b43377185f69758874352b1eaa1e22d1373dcaf5a7e38cea3f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.