Instructions to use arokrokie/analog1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arokrokie/analog1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wavymulder/Analog-Diffusion", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("arokrokie/analog1") prompt = "Realistic deep fade" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Analog-1

- Prompt
- Realistic deep fade
- Negative Prompt
- blury
Model description
Modified Analog diffusion
Trigger words
You should use analog-diffusion to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for arokrokie/analog1
Base model
wavymulder/Analog-Diffusion