Instructions to use falanaja/mjmodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falanaja/mjmodel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("falanaja/mjmodel") prompt = "mjmodel hijab girl in the garden" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 2 files
Browse files
images/workspace_trainsamples_795132694416601946_581e7534-802b-4373-b019-5bbc4f249691.png
ADDED
|
Git LFS Details
|
mjmodel.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5815ac8c324a499254860061cf1d5ea37042f25a18c8e0e6f885c61b94dae83e
|
| 3 |
+
size 612746320
|