Instructions to use bghira/deepcinema with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/deepcinema with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DeepFloyd/IF-I-M-v1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bghira/deepcinema") prompt = "a happy family" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload lora-df_stage2_17250-steps.safetensors
Browse files
lora-df_stage2_17250-steps.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:af8af43f8956bfcc8b51bce949f25a748f3cc8717ffa70c1ce07137fe67548df
|
| 3 |
+
size 5912832
|