Instructions to use zai-org/CogView4-6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zai-org/CogView4-6B with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zai-org/CogView4-6B", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download model_index.json from zai-org/CogView4-6B: direct link, hf CLI and curl.
- Browser
- Download file 415 Bytes
-
https://huggingface.co/zai-org/CogView4-6B/resolve/refs%2Fpr%2F13/model_index.json
- Command line
-
hf download hf://zai-org/CogView4-6B@refs/pr/13/model_index.json
-
curl -L -o model_index.json https://huggingface.co/zai-org/CogView4-6B/resolve/refs%2Fpr%2F13/model_index.json
415 Bytes
| { | |
| "_class_name": "CogView4Pipeline", | |
| "_diffusers_version": "0.33.0.dev0", | |
| "scheduler": [ | |
| "diffusers", | |
| "FlowMatchEulerDiscreteScheduler" | |
| ], | |
| "text_encoder": [ | |
| "transformers", | |
| "GlmModel" | |
| ], | |
| "tokenizer": [ | |
| "transformers", | |
| "PreTrainedTokenizerFast" | |
| ], | |
| "transformer": [ | |
| "diffusers", | |
| "CogView4Transformer2DModel" | |
| ], | |
| "vae": [ | |
| "diffusers", | |
| "AutoencoderKL" | |
| ] | |
| } | |