Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
General purpose
Photorealistic
Anime
Art
artificialguybr
diffusionfanatic1173
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Epsilon_Naught with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Epsilon_Naught 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/Epsilon_Naught", 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
file
Browse files
Epsilon_Naught.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:472aee4222fb7dafd7e09a4074c820e7f301e5f16551019a1bf11ba8e00c646b
|
| 3 |
+
size 2132676354
|