Text-to-Video
Diffusers
Safetensors
Wan2.2
bernini_renderer
comfyui
bernini-r
video-editing
reference-to-video
fp8
Instructions to use neuregex/Bernini-R-fp8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use neuregex/Bernini-R-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("neuregex/Bernini-R-fp8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Wan2.2
How to use neuregex/Bernini-R-fp8 with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 820 Bytes
28e3b22 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | {
"_class_name": "UniPCMultistepScheduler",
"_diffusers_version": "0.35.0.dev0",
"beta_end": 0.02,
"beta_schedule": "linear",
"beta_start": 0.0001,
"disable_corrector": [],
"dynamic_thresholding_ratio": 0.995,
"final_sigmas_type": "zero",
"flow_shift": 3.0,
"lower_order_final": true,
"num_train_timesteps": 1000,
"predict_x0": true,
"prediction_type": "flow_prediction",
"rescale_betas_zero_snr": false,
"sample_max_value": 1.0,
"solver_order": 2,
"solver_p": null,
"solver_type": "bh2",
"steps_offset": 0,
"thresholding": false,
"time_shift_type": "exponential",
"timestep_spacing": "linspace",
"trained_betas": null,
"use_beta_sigmas": false,
"use_dynamic_shifting": false,
"use_exponential_sigmas": false,
"use_flow_sigmas": true,
"use_karras_sigmas": false
}
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