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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- dd7fa265552eb73ccc384e3103c3b1966310888f9043658004030163c67b2dce
- Size of remote file:
- 3.44 GB
- SHA256:
- 7b9785ce8617a037e8e91eff94b24fca229053043b9b07d10ed8face9773ad55
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