Instructions to use TheAwakenOne/max-headroom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use TheAwakenOne/max-headroom 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("TheAwakenOne/max-headroom") prompt = "M2X a stylized retro Albert Einstein with dark sunglasses, wearing a green suit, set against a neon background. He has a confident and cheerful expression, suggesting charisma and charm in a retro-futuristic 80's aesthetic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload max-headroom-v1.safetensors
Browse filesv1 lora enhances the image quality.

max-headroom-v1.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:121f1676d7d619d182b7f1f4e7217cb3f6b97e3319161666e5fd9d32ebb10374
|
| 3 |
+
size 18212780
|