Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
General Purpose
Game Art
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/GodMode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/GodMode 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/GodMode", 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
Commit History
-
Update README.md
a89caae -
Update README.md
32c3fab -
Create README.md
fb714fd -
Delete tokenizer/added_tokens.json
aad1046 -
Update model_index.json
505a0a0 -
Update scheduler/scheduler_config.json
dbb0fd0 -
Upload model_index.json
023db5a -
Delete model_index.json
164a0b1 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (23c2d26c970bea67449e949f37fa5a66c8db7f74)0e6e988 -
file
31c2ec1 -
file
a08855b -
initial commit
6bfaaf3