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Support scaled fp8 t5xxl model.

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comfyanonymous
2024-10-20 22:27:00 -04:00
parent f9f9faface
commit 83ca891118
6 changed files with 63 additions and 30 deletions
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13
comfy/text_encoders/flux.py
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@@ -1,15 +1,11 @@
from comfy import sd1_clip
import comfy.text_encoders.t5
import comfy.text_encoders.sd3_clip
import comfy.model_management
from transformers import T5TokenizerFast
import torch
import os
class T5XXLModel(sd1_clip.SDClipModel):
def __init__(self, device="cpu", layer="last", layer_idx=None, dtype=None, model_options={}):
textmodel_json_config = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_config_xxl.json")
super().__init__(device=device, layer=layer, layer_idx=layer_idx, textmodel_json_config=textmodel_json_config, dtype=dtype, special_tokens={"end": 1, "pad": 0}, model_class=comfy.text_encoders.t5.T5, model_options=model_options)
class T5XXLTokenizer(sd1_clip.SDTokenizer):
def __init__(self, embedding_directory=None, tokenizer_data={}):
tokenizer_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "t5_tokenizer")
@@ -41,7 +37,7 @@ class FluxClipModel(torch.nn.Module):
dtype_t5 = comfy.model_management.pick_weight_dtype(dtype_t5, dtype, device)
clip_l_class = model_options.get("clip_l_class", sd1_clip.SDClipModel)
self.clip_l = clip_l_class(device=device, dtype=dtype, return_projected_pooled=False, model_options=model_options)
self.t5xxl = T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options)
self.t5xxl = comfy.text_encoders.sd3_clip.T5XXLModel(device=device, dtype=dtype_t5, model_options=model_options)
self.dtypes = set([dtype, dtype_t5])
def set_clip_options(self, options):
@@ -66,8 +62,11 @@ class FluxClipModel(torch.nn.Module):
else:
return self.t5xxl.load_sd(sd)
def flux_clip(dtype_t5=None):
def flux_clip(dtype_t5=None, t5xxl_scaled_fp8=None):
class FluxClipModel_(FluxClipModel):
def __init__(self, device="cpu", dtype=None, model_options={}):
if t5xxl_scaled_fp8 is not None and "t5xxl_scaled_fp8" not in model_options:
model_options = model_options.copy()
model_options["t5xxl_scaled_fp8"] = t5xxl_scaled_fp8
super().__init__(dtype_t5=dtype_t5, device=device, dtype=dtype, model_options=model_options)
return FluxClipModel_