Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
cordonsolution8
Instructions to use Yntec/InsaneRealisticCVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/InsaneRealisticCVAE 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/InsaneRealisticCVAE", 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 unet/config.json
Verified signature7ed30c6
-
Rename README (8).md to README.md
2185672 -
Upload README (8).md
59ebc25 -
Delete README.md
e37aeb2 -
Update text_encoder/config.json
672b265
-
Upload README.md
cce5307 -
Update scheduler/scheduler_config.json
c78d3f4 -
Update model_index.json
f5d9d92 -
Upload model_index.json
050f0b6 -
Delete model_index.json
e7a5971 -
Delete safety_checker
5eb71eb -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (aa6b25124bfad3cfa2786a4274d8e20c918137b4)bd1ce93 -
file
16c3df3 -
initial commit
08bbedc