Instructions to use mikelola/modelTFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mikelola/modelTFM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mikelola/modelTFM", 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
Epoch 249
Browse files
logs/train_example/events.out.tfevents.1714591697.370d3ae9e2a5.706.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:beb435e0dfb7d2b587e8d9cce12f39ff53765b1fd4e6adc6d6b83460b3fecdc0
|
| 3 |
+
size 63198
|
samples/0249.png
CHANGED
|
|