Text-to-Image
Diffusers
lora
ideogram4
style
vintage
film
vhs
found-footage
1990s
industrial
retro
ps2
low-poly
game-screenshot
2004
vertex-lighting
interlacing
template:diffusion-lora
Instructions to use jmanhype/Ideogram-4.0-LoRAs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jmanhype/Ideogram-4.0-LoRAs with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ideogram-ai/ideogram-4-fp8", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jmanhype/Ideogram-4.0-LoRAs") prompt = "VHS_RALLY_95 - 1995 Hi8 camcorder found footage aesthetic" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 1e2a95f6bebd361d7310ed7b395b719d38f5c9e0e8af872e220461035d2a36f6
- Size of remote file:
- 116 kB
- SHA256:
- 71c2ab82757887ed367335733a12268db8aa0ff9bcbfcfda50e1b58833427a98
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