File size: 1,395 Bytes
533f372 | 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 37 38 39 40 41 42 43 44 45 46 47 | """
Configuration for FlowMatchRelay — HuggingFace compatible.
Usage:
from transformers import AutoConfig
config = AutoConfig.from_pretrained("AbstractPhil/geolip-diffusion-proto", trust_remote_code=True)
"""
from transformers import PretrainedConfig
class FlowMatchRelayConfig(PretrainedConfig):
model_type = "flow_match_relay"
def __init__(
self,
in_channels=3,
base_channels=64,
channel_mults=(1, 2, 4),
n_classes=10,
cond_dim=256,
use_relay=True,
relay_patch_dim=16,
relay_n_anchors=16,
relay_n_phases=3,
relay_pw_hidden=32,
relay_gate_init=-3.0,
relay_mode="channel",
image_size=32,
n_sample_steps=50,
**kwargs,
):
self.in_channels = in_channels
self.base_channels = base_channels
self.channel_mults = list(channel_mults)
self.n_classes = n_classes
self.cond_dim = cond_dim
self.use_relay = use_relay
self.relay_patch_dim = relay_patch_dim
self.relay_n_anchors = relay_n_anchors
self.relay_n_phases = relay_n_phases
self.relay_pw_hidden = relay_pw_hidden
self.relay_gate_init = relay_gate_init
self.relay_mode = relay_mode
self.image_size = image_size
self.n_sample_steps = n_sample_steps
super().__init__(**kwargs) |