Instructions to use Ryzan/fantasy-diffusion-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ryzan/fantasy-diffusion-v0 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Ryzan/fantasy-diffusion-v0", 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
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,10 +8,12 @@ tags:
|
|
| 8 |
|
| 9 |
### fantasy-diffusion-v1 is already out
|
| 10 |
v1 has better rendering than v0
|
| 11 |
-
see v1 at https://huggingface.co/Ryzan/fantasy-diffusion-v1
|
| 12 |
<br />
|
|
|
|
| 13 |
<br />
|
| 14 |
-
|
|
|
|
|
|
|
| 15 |
<br />
|
| 16 |
This model is trained on 400 images of semi-realistic fantasy art
|
| 17 |
<br />
|
|
|
|
| 8 |
|
| 9 |
### fantasy-diffusion-v1 is already out
|
| 10 |
v1 has better rendering than v0
|
|
|
|
| 11 |
<br />
|
| 12 |
+
see v1 at: https://huggingface.co/Ryzan/fantasy-diffusion-v1
|
| 13 |
<br />
|
| 14 |
+
<br />
|
| 15 |
+
<br />
|
| 16 |
+
v0 is currently a test model
|
| 17 |
<br />
|
| 18 |
This model is trained on 400 images of semi-realistic fantasy art
|
| 19 |
<br />
|