Diffusers
ConsistencyModelPipeline
generative model
unconditional image generation
consistency-model
Instructions to use openai/diffusers-cd_bedroom256_l2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openai/diffusers-cd_bedroom256_l2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("openai/diffusers-cd_bedroom256_l2", 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
File size: 243 Bytes
c091317 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "CMStochasticIterativeScheduler",
"_diffusers_version": "0.17.0.dev0",
"clip_denoised": true,
"num_train_timesteps": 40,
"rho": 7.0,
"s_noise": 1.0,
"sigma_data": 0.5,
"sigma_max": 80.0,
"sigma_min": 0.002
}
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