Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Realism
Portrait
Photo
Photorealism
anime
art
artistic
darkstorm2150
ChangeMeNot
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/ThisIsPromising with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ThisIsPromising 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/ThisIsPromising", 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
Verified signature134823f
-
Create README.md
Verified signatureb8f0e64 -
Create model_index.json
Verified signature7013fe6 -
Delete model_index.json
Verified signaturea1d8b5b -
Update scheduler/scheduler_config.json
Verified signaturefad964e -
Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (ca3710b32e2ed5a748f8a3a98eb577c42024b333)62a0357
-
file
Verified signature669f610 -
initial commit
Verified signature2c5090d