Instructions to use Disty0/Ideogram-4-SDNQ-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Disty0/Ideogram-4-SDNQ-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Disty0/Ideogram-4-SDNQ-FP8", 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
| { | |
| "architectures": [ | |
| "Qwen3VLModel" | |
| ], | |
| "dtype": "bfloat16", | |
| "image_token_id": 151655, | |
| "model_type": "qwen3_vl", | |
| "text_config": { | |
| "attention_bias": false, | |
| "attention_dropout": 0.0, | |
| "bos_token_id": 151643, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 151645, | |
| "head_dim": 128, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 12288, | |
| "max_position_embeddings": 262144, | |
| "model_type": "qwen3_vl_text", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 36, | |
| "num_key_value_heads": 8, | |
| "pad_token_id": null, | |
| "rms_norm_eps": 1e-06, | |
| "rope_parameters": { | |
| "mrope_interleaved": true, | |
| "mrope_section": [ | |
| 24, | |
| 20, | |
| 20 | |
| ], | |
| "rope_theta": 5000000, | |
| "rope_type": "default" | |
| }, | |
| "use_cache": true, | |
| "vocab_size": 151936 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.8.0", | |
| "video_token_id": 151656, | |
| "vision_config": { | |
| "deepstack_visual_indexes": [ | |
| 8, | |
| 16, | |
| 24 | |
| ], | |
| "depth": 27, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu_pytorch_tanh", | |
| "hidden_size": 1152, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4304, | |
| "model_type": "qwen3_vl_vision", | |
| "num_heads": 16, | |
| "num_position_embeddings": 2304, | |
| "out_hidden_size": 4096, | |
| "patch_size": 16, | |
| "spatial_merge_size": 2, | |
| "temporal_patch_size": 2 | |
| }, | |
| "vision_end_token_id": 151653, | |
| "vision_start_token_id": 151652, | |
| "ideogram_fp8_weight_only": true, | |
| "quantization_config": { | |
| "add_skip_keys": false, | |
| "dequantize_fp32": true, | |
| "dynamic_loss_threshold": -1, | |
| "group_size": -1, | |
| "hadamard_group_size": 128, | |
| "is_integer": false, | |
| "is_training": false, | |
| "modules_dtype_dict": {}, | |
| "modules_quant_config": {}, | |
| "modules_to_not_convert": [ | |
| "language_model.embed_tokens.weight", | |
| "language_model.layers.0.input_layernorm.weight", | |
| "language_model.layers.0.post_attention_layernorm.weight", | |
| "language_model.layers.0.self_attn.k_norm.weight", | |
| "language_model.layers.0.self_attn.q_norm.weight", | |
| "language_model.layers.1.input_layernorm.weight", | |
| "language_model.layers.1.post_attention_layernorm.weight", | |
| "language_model.layers.1.self_attn.k_norm.weight", | |
| "language_model.layers.1.self_attn.q_norm.weight", | |
| "language_model.layers.10.input_layernorm.weight", | |
| "language_model.layers.10.post_attention_layernorm.weight", | |
| "language_model.layers.10.self_attn.k_norm.weight", | |
| "language_model.layers.10.self_attn.q_norm.weight", | |
| "language_model.layers.11.input_layernorm.weight", | |
| "language_model.layers.11.post_attention_layernorm.weight", | |
| "language_model.layers.11.self_attn.k_norm.weight", | |
| "language_model.layers.11.self_attn.q_norm.weight", | |
| "language_model.layers.12.input_layernorm.weight", | |
| "language_model.layers.12.post_attention_layernorm.weight", | |
| "language_model.layers.12.self_attn.k_norm.weight", | |
| "language_model.layers.12.self_attn.q_norm.weight", | |
| "language_model.layers.13.input_layernorm.weight", | |
| "language_model.layers.13.post_attention_layernorm.weight", | |
| "language_model.layers.13.self_attn.k_norm.weight", | |
| "language_model.layers.13.self_attn.q_norm.weight", | |
| "language_model.layers.14.input_layernorm.weight", | |
| "language_model.layers.14.post_attention_layernorm.weight", | |
| "language_model.layers.14.self_attn.k_norm.weight", | |
| "language_model.layers.14.self_attn.q_norm.weight", | |
| "language_model.layers.15.input_layernorm.weight", | |
| "language_model.layers.15.post_attention_layernorm.weight", | |
| "language_model.layers.15.self_attn.k_norm.weight", | |
| "language_model.layers.15.self_attn.q_norm.weight", | |
| "language_model.layers.16.input_layernorm.weight", | |
| "language_model.layers.16.post_attention_layernorm.weight", | |
| "language_model.layers.16.self_attn.k_norm.weight", | |
| "language_model.layers.16.self_attn.q_norm.weight", | |
| "language_model.layers.17.input_layernorm.weight", | |
| "language_model.layers.17.post_attention_layernorm.weight", | |
| "language_model.layers.17.self_attn.k_norm.weight", | |
| "language_model.layers.17.self_attn.q_norm.weight", | |
| "language_model.layers.18.input_layernorm.weight", | |
| "language_model.layers.18.post_attention_layernorm.weight", | |
| "language_model.layers.18.self_attn.k_norm.weight", | |
| "language_model.layers.18.self_attn.q_norm.weight", | |
| "language_model.layers.19.input_layernorm.weight", | |
| "language_model.layers.19.post_attention_layernorm.weight", | |
| "language_model.layers.19.self_attn.k_norm.weight", | |
| "language_model.layers.19.self_attn.q_norm.weight", | |
| "language_model.layers.2.input_layernorm.weight", | |
| "language_model.layers.2.post_attention_layernorm.weight", | |
| "language_model.layers.2.self_attn.k_norm.weight", | |
| "language_model.layers.2.self_attn.q_norm.weight", | |
| "language_model.layers.20.input_layernorm.weight", | |
| "language_model.layers.20.post_attention_layernorm.weight", | |
| "language_model.layers.20.self_attn.k_norm.weight", | |
| "language_model.layers.20.self_attn.q_norm.weight", | |
| "language_model.layers.21.input_layernorm.weight", | |
| "language_model.layers.21.post_attention_layernorm.weight", | |
| "language_model.layers.21.self_attn.k_norm.weight", | |
| "language_model.layers.21.self_attn.q_norm.weight", | |
| "language_model.layers.22.input_layernorm.weight", | |
| "language_model.layers.22.post_attention_layernorm.weight", | |
| "language_model.layers.22.self_attn.k_norm.weight", | |
| "language_model.layers.22.self_attn.q_norm.weight", | |
| "language_model.layers.23.input_layernorm.weight", | |
| "language_model.layers.23.post_attention_layernorm.weight", | |
| "language_model.layers.23.self_attn.k_norm.weight", | |
| "language_model.layers.23.self_attn.q_norm.weight", | |
| "language_model.layers.24.input_layernorm.weight", | |
| "language_model.layers.24.post_attention_layernorm.weight", | |
| "language_model.layers.24.self_attn.k_norm.weight", | |
| "language_model.layers.24.self_attn.q_norm.weight", | |
| "language_model.layers.25.input_layernorm.weight", | |
| "language_model.layers.25.post_attention_layernorm.weight", | |
| "language_model.layers.25.self_attn.k_norm.weight", | |
| "language_model.layers.25.self_attn.q_norm.weight", | |
| "language_model.layers.26.input_layernorm.weight", | |
| "language_model.layers.26.post_attention_layernorm.weight", | |
| "language_model.layers.26.self_attn.k_norm.weight", | |
| "language_model.layers.26.self_attn.q_norm.weight", | |
| "language_model.layers.27.input_layernorm.weight", | |
| "language_model.layers.27.post_attention_layernorm.weight", | |
| "language_model.layers.27.self_attn.k_norm.weight", | |
| "language_model.layers.27.self_attn.q_norm.weight", | |
| "language_model.layers.28.input_layernorm.weight", | |
| "language_model.layers.28.post_attention_layernorm.weight", | |
| "language_model.layers.28.self_attn.k_norm.weight", | |
| "language_model.layers.28.self_attn.q_norm.weight", | |
| "language_model.layers.29.input_layernorm.weight", | |
| "language_model.layers.29.post_attention_layernorm.weight", | |
| "language_model.layers.29.self_attn.k_norm.weight", | |
| "language_model.layers.29.self_attn.q_norm.weight", | |
| "language_model.layers.3.input_layernorm.weight", | |
| "language_model.layers.3.post_attention_layernorm.weight", | |
| "language_model.layers.3.self_attn.k_norm.weight", | |
| "language_model.layers.3.self_attn.q_norm.weight", | |
| "language_model.layers.30.input_layernorm.weight", | |
| "language_model.layers.30.post_attention_layernorm.weight", | |
| "language_model.layers.30.self_attn.k_norm.weight", | |
| "language_model.layers.30.self_attn.q_norm.weight", | |
| "language_model.layers.31.input_layernorm.weight", | |
| "language_model.layers.31.post_attention_layernorm.weight", | |
| "language_model.layers.31.self_attn.k_norm.weight", | |
| "language_model.layers.31.self_attn.q_norm.weight", | |
| "language_model.layers.32.input_layernorm.weight", | |
| "language_model.layers.32.post_attention_layernorm.weight", | |
| "language_model.layers.32.self_attn.k_norm.weight", | |
| "language_model.layers.32.self_attn.q_norm.weight", | |
| "language_model.layers.33.input_layernorm.weight", | |
| "language_model.layers.33.post_attention_layernorm.weight", | |
| "language_model.layers.33.self_attn.k_norm.weight", | |
| "language_model.layers.33.self_attn.q_norm.weight", | |
| "language_model.layers.34.input_layernorm.weight", | |
| "language_model.layers.34.post_attention_layernorm.weight", | |
| "language_model.layers.34.self_attn.k_norm.weight", | |
| "language_model.layers.34.self_attn.q_norm.weight", | |
| "language_model.layers.35.input_layernorm.weight", | |
| "language_model.layers.35.post_attention_layernorm.weight", | |
| "language_model.layers.35.self_attn.k_norm.weight", | |
| "language_model.layers.35.self_attn.q_norm.weight", | |
| "language_model.layers.4.input_layernorm.weight", | |
| "language_model.layers.4.post_attention_layernorm.weight", | |
| "language_model.layers.4.self_attn.k_norm.weight", | |
| "language_model.layers.4.self_attn.q_norm.weight", | |
| "language_model.layers.5.input_layernorm.weight", | |
| "language_model.layers.5.post_attention_layernorm.weight", | |
| "language_model.layers.5.self_attn.k_norm.weight", | |
| "language_model.layers.5.self_attn.q_norm.weight", | |
| "language_model.layers.6.input_layernorm.weight", | |
| "language_model.layers.6.post_attention_layernorm.weight", | |
| "language_model.layers.6.self_attn.k_norm.weight", | |
| "language_model.layers.6.self_attn.q_norm.weight", | |
| "language_model.layers.7.input_layernorm.weight", | |
| "language_model.layers.7.post_attention_layernorm.weight", | |
| "language_model.layers.7.self_attn.k_norm.weight", | |
| "language_model.layers.7.self_attn.q_norm.weight", | |
| "language_model.layers.8.input_layernorm.weight", | |
| "language_model.layers.8.post_attention_layernorm.weight", | |
| "language_model.layers.8.self_attn.k_norm.weight", | |
| "language_model.layers.8.self_attn.q_norm.weight", | |
| "language_model.layers.9.input_layernorm.weight", | |
| "language_model.layers.9.post_attention_layernorm.weight", | |
| "language_model.layers.9.self_attn.k_norm.weight", | |
| "language_model.layers.9.self_attn.q_norm.weight", | |
| "language_model.norm.weight", | |
| "visual.blocks.0.norm1.weight", | |
| "visual.blocks.0.norm2.weight", | |
| "visual.blocks.1.norm1.weight", | |
| "visual.blocks.1.norm2.weight", | |
| "visual.blocks.10.norm1.weight", | |
| "visual.blocks.10.norm2.weight", | |
| "visual.blocks.11.norm1.weight", | |
| "visual.blocks.11.norm2.weight", | |
| "visual.blocks.12.norm1.weight", | |
| "visual.blocks.12.norm2.weight", | |
| "visual.blocks.13.norm1.weight", | |
| "visual.blocks.13.norm2.weight", | |
| "visual.blocks.14.norm1.weight", | |
| "visual.blocks.14.norm2.weight", | |
| "visual.blocks.15.norm1.weight", | |
| "visual.blocks.15.norm2.weight", | |
| "visual.blocks.16.norm1.weight", | |
| "visual.blocks.16.norm2.weight", | |
| "visual.blocks.17.norm1.weight", | |
| "visual.blocks.17.norm2.weight", | |
| "visual.blocks.18.norm1.weight", | |
| "visual.blocks.18.norm2.weight", | |
| "visual.blocks.19.norm1.weight", | |
| "visual.blocks.19.norm2.weight", | |
| "visual.blocks.2.norm1.weight", | |
| "visual.blocks.2.norm2.weight", | |
| "visual.blocks.20.norm1.weight", | |
| "visual.blocks.20.norm2.weight", | |
| "visual.blocks.21.norm1.weight", | |
| "visual.blocks.21.norm2.weight", | |
| "visual.blocks.22.norm1.weight", | |
| "visual.blocks.22.norm2.weight", | |
| "visual.blocks.23.norm1.weight", | |
| "visual.blocks.23.norm2.weight", | |
| "visual.blocks.24.norm1.weight", | |
| "visual.blocks.24.norm2.weight", | |
| "visual.blocks.25.norm1.weight", | |
| "visual.blocks.25.norm2.weight", | |
| "visual.blocks.26.norm1.weight", | |
| "visual.blocks.26.norm2.weight", | |
| "visual.blocks.3.norm1.weight", | |
| "visual.blocks.3.norm2.weight", | |
| "visual.blocks.4.norm1.weight", | |
| "visual.blocks.4.norm2.weight", | |
| "visual.blocks.5.norm1.weight", | |
| "visual.blocks.5.norm2.weight", | |
| "visual.blocks.6.norm1.weight", | |
| "visual.blocks.6.norm2.weight", | |
| "visual.blocks.7.norm1.weight", | |
| "visual.blocks.7.norm2.weight", | |
| "visual.blocks.8.norm1.weight", | |
| "visual.blocks.8.norm2.weight", | |
| "visual.blocks.9.norm1.weight", | |
| "visual.blocks.9.norm2.weight", | |
| "visual.deepstack_merger_list.0.norm.weight", | |
| "visual.deepstack_merger_list.1.norm.weight", | |
| "visual.deepstack_merger_list.2.norm.weight", | |
| "visual.merger.norm.weight", | |
| "visual.patch_embed.proj.weight", | |
| "visual.pos_embed.weight" | |
| ], | |
| "modules_to_not_use_matmul": [], | |
| "non_blocking": false, | |
| "quant_conv": false, | |
| "quant_embedding": false, | |
| "quant_method": "sdnq", | |
| "quantization_device": null, | |
| "quantized_matmul_dtype": null, | |
| "return_device": null, | |
| "sdnq_version": "0.2.0", | |
| "svd_rank": 32, | |
| "svd_steps": 8, | |
| "use_dynamic_quantization": false, | |
| "use_grad_ckpt": true, | |
| "use_hadamard": false, | |
| "use_quantized_matmul": false, | |
| "use_quantized_matmul_conv": false, | |
| "use_static_quantization": true, | |
| "use_stochastic_rounding": false, | |
| "use_svd": false, | |
| "weights_dtype": "float8_e4m3fn" | |
| } | |
| } |