Instructions to use EnD-Diffusers/VirtualDiffusion3THETA_Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EnD-Diffusers/VirtualDiffusion3THETA_Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("EnD-Diffusers/VirtualDiffusion3THETA_Diffusers", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
# Virtual Diffusion (Semi Realism & 3d) PDXL
|
| 2 |
|
| 3 |
Quasi 3d/2.5D Model based around 3d concepts such as Second Life and video games. Scroll to the bottom for model credits, as I probably DID NOT leave metadata on. <3
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: creativeml-openrail-m
|
| 3 |
+
datasets:
|
| 4 |
+
- EarthnDusk/Virtual_Diffusion_V3
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
library_name: diffusers
|
| 8 |
+
pipeline_tag: text-to-image
|
| 9 |
+
tags:
|
| 10 |
+
- art
|
| 11 |
+
---
|
| 12 |
# Virtual Diffusion (Semi Realism & 3d) PDXL
|
| 13 |
|
| 14 |
Quasi 3d/2.5D Model based around 3d concepts such as Second Life and video games. Scroll to the bottom for model credits, as I probably DID NOT leave metadata on. <3
|