Instructions to use hf-internal-testing/tiny-random-cogview4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-random-cogview4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-random-cogview4", 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
- Draw Things
- DiffusionBee
File size: 417 Bytes
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"_class_name": "CogView4Pipeline",
"_diffusers_version": "0.33.0.dev0",
"scheduler": [
"diffusers",
"FlowMatchEulerDiscreteScheduler"
],
"text_encoder": [
"transformers",
"GlmModel"
],
"tokenizer": [
"tokenization_chatglm",
"ChatGLM4Tokenizer"
],
"transformer": [
"diffusers",
"CogView4Transformer2DModel"
],
"vae": [
"diffusers",
"AutoencoderKL"
]
}
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