Instructions to use MonsterMMORPG/VExpressQuick with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MonsterMMORPG/VExpressQuick with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MonsterMMORPG/VExpressQuick", 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
File size: 887 Bytes
9445995 | 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 32 33 34 35 36 | unet_additional_kwargs:
use_inflated_groupnorm: true
unet_use_cross_frame_attention: false
unet_use_temporal_attention: false
use_motion_module: true
motion_module_resolutions:
- 1
- 2
- 4
- 8
motion_module_mid_block: true
motion_module_decoder_only: false
motion_module_type: Vanilla
motion_module_kwargs:
num_attention_heads: 8
num_transformer_block: 1
attention_block_types:
- Temporal_Self
- Temporal_Self
temporal_position_encoding: true
temporal_position_encoding_max_len: 32
temporal_attention_dim_div: 1
noise_scheduler_kwargs:
beta_start: 0.00085
beta_end: 0.012
beta_schedule: "scaled_linear"
clip_sample: false
steps_offset: 1
### Zero-SNR params
prediction_type: "v_prediction"
rescale_betas_zero_snr: True
timestep_spacing: "trailing"
sampler: DDIM
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