Instructions to use freestuff2875/GLM-Image-bnb-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use freestuff2875/GLM-Image-bnb-4bit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("freestuff2875/GLM-Image-bnb-4bit", 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": [ | |
| "GlmImageForConditionalGeneration" | |
| ], | |
| "dtype": "bfloat16", | |
| "image_end_token_id": 16385, | |
| "image_start_token_id": 16384, | |
| "image_token_id": 167855, | |
| "model_type": "glm_image", | |
| "quantization_config": { | |
| "_load_in_4bit": true, | |
| "_load_in_8bit": false, | |
| "bnb_4bit_compute_dtype": "bfloat16", | |
| "bnb_4bit_quant_storage": "uint8", | |
| "bnb_4bit_quant_type": "nf4", | |
| "bnb_4bit_use_double_quant": true, | |
| "llm_int8_enable_fp32_cpu_offload": false, | |
| "llm_int8_has_fp16_weight": false, | |
| "llm_int8_skip_modules": [ | |
| "vqmodel", | |
| "lm_head", | |
| "embeddings", | |
| "embed_tokens", | |
| "patch_embed", | |
| "model.language_model.layers.28.self_attn.v_proj", | |
| "model.language_model.layers.29.self_attn.v_proj", | |
| "model.language_model.layers.32.self_attn.v_proj", | |
| "model.language_model.layers.33.self_attn.v_proj", | |
| "model.visual.blocks.0.attn.qkv", | |
| "model.visual.blocks.0.mlp.fc2", | |
| "model.visual.blocks.1.attn.qkv", | |
| "model.visual.blocks.1.mlp.fc1", | |
| "model.visual.blocks.1.mlp.fc2", | |
| "model.visual.blocks.2.attn.qkv", | |
| "model.visual.blocks.2.mlp.fc2", | |
| "model.visual.blocks.3.attn.qkv", | |
| "model.visual.blocks.3.mlp.fc2", | |
| "model.visual.blocks.4.mlp.fc2", | |
| "model.visual.blocks.5.mlp.fc2", | |
| "model.visual.blocks.6.mlp.fc2", | |
| "model.visual.blocks.7.mlp.fc2", | |
| "model.visual.blocks.8.mlp.fc2", | |
| "model.visual.blocks.9.mlp.fc2" | |
| ], | |
| "llm_int8_threshold": 6.0, | |
| "load_in_4bit": true, | |
| "load_in_8bit": false, | |
| "quant_method": "bitsandbytes" | |
| }, | |
| "text_config": { | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "dtype": "bfloat16", | |
| "eos_token_id": 16385, | |
| "hidden_act": "silu", | |
| "hidden_size": 4096, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 13696, | |
| "max_position_embeddings": 131072, | |
| "model_type": "glm_image_text", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 40, | |
| "num_key_value_heads": 2, | |
| "pad_token_id": 167841, | |
| "rms_norm_eps": 1e-05, | |
| "rope_parameters": { | |
| "mrope_section": [ | |
| 8, | |
| 12, | |
| 12 | |
| ], | |
| "partial_rotary_factor": 0.5, | |
| "rope_theta": 10000, | |
| "rope_type": "default" | |
| }, | |
| "use_cache": true, | |
| "vision_vocab_size": 16512, | |
| "vocab_size": 168064 | |
| }, | |
| "tie_word_embeddings": false, | |
| "transformers_version": "5.0.0", | |
| "vision_config": { | |
| "attention_bias": true, | |
| "attention_dropout": 0.0, | |
| "depth": 40, | |
| "dtype": "bfloat16", | |
| "hidden_act": "gelu", | |
| "hidden_size": 1536, | |
| "image_size": 2048, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 6144, | |
| "layer_norm_eps": 1e-06, | |
| "model_type": "glm_image_vision", | |
| "num_heads": 16, | |
| "patch_size": 16, | |
| "spatial_merge_size": 1 | |
| }, | |
| "vq_config": { | |
| "dtype": "bfloat16", | |
| "embed_dim": 2048, | |
| "in_channels": 3, | |
| "initializer_range": 0.02, | |
| "latent_channels": 1536, | |
| "model_type": "glm_image_vqmodel", | |
| "num_embeddings": 16384 | |
| } | |
| } | |