Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General purpose
Art
Anime
iamxenos
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/3rdComing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/3rdComing 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/3rdComing", 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
- Draw Things
- DiffusionBee
file
Browse files- ThirdComing.safetensors +3 -0
ThirdComing.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b31ae4c3f9a5d1070be0980489f0967552a6ac6c5cff5f7b69037bf75d5894f
|
| 3 |
+
size 4265096956
|