Instructions to use halfadv89/test122 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use halfadv89/test122 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("halfadv89/test122", 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
Upload config.json
Browse files- config.json +3 -0
config.json
CHANGED
|
@@ -8,6 +8,9 @@
|
|
| 8 |
56,
|
| 9 |
56
|
| 10 |
],
|
|
|
|
|
|
|
|
|
|
| 11 |
"guidance_embeds": true,
|
| 12 |
"in_channels": 64,
|
| 13 |
"joint_attention_dim": 4096,
|
|
|
|
| 8 |
56,
|
| 9 |
56
|
| 10 |
],
|
| 11 |
+
"architectures": [
|
| 12 |
+
"FLUX1"
|
| 13 |
+
],
|
| 14 |
"guidance_embeds": true,
|
| 15 |
"in_channels": 64,
|
| 16 |
"joint_attention_dim": 4096,
|