Text-to-Image
Diffusers
Safetensors
Ideogram4Pipeline
image-generation
diffusion
flow-matching
dit
ideogram
Instructions to use CalamitousFelicitousness/Ideogram-4-bf16-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CalamitousFelicitousness/Ideogram-4-bf16-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CalamitousFelicitousness/Ideogram-4-bf16-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| { | |
| "_class_name": "Ideogram4Transformer2DModel", | |
| "_diffusers_version": "0.39.0.dev0", | |
| "adaln_dim": 512, | |
| "attention_head_dim": 256, | |
| "in_channels": 128, | |
| "intermediate_size": 12288, | |
| "llm_features_dim": 53248, | |
| "mrope_section": [ | |
| 24, | |
| 20, | |
| 20 | |
| ], | |
| "norm_eps": 0.00001, | |
| "num_attention_heads": 18, | |
| "num_layers": 34, | |
| "rope_theta": 5000000 | |
| } | |