"TypeError: tuple indices must be integers or slices, not float" when attempting to run flux models

[aaronjolson]

I wanted to try and run a flux model in Forge. I deleted and reinstalled my venv via webui.bat. I tested that I can still run sdxl models. I am running with these settings:

Attempting to generate results in the following error

Error:

Model selected: {'checkpoint_info': {'filename': 'E:\\stable-diffusion-webui-forge\\models\\Stable-diffusion\\nepotismFUXDEVSCHNELL_nepotismFUXV3Dit.safetensors', 'hash': '76323669'}, 'additional_modules': ['E:\\stable-diffusion-webui-forge\\models\\text_encoder\\t5xxl_fp16.safetensors'], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Model selected: {'checkpoint_info': {'filename': 'E:\\stable-diffusion-webui-forge\\models\\Stable-diffusion\\nepotismFUXDEVSCHNELL_nepotismFUXV3Dit.safetensors', 'hash': '76323669'}, 'additional_modules': ['E:\\stable-diffusion-webui-forge\\models\\text_encoder\\t5xxl_fp16.safetensors', 'E:\\stable-diffusion-webui-forge\\models\\text_encoder\\clip_l.safetensors'], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Model selected: {'checkpoint_info': {'filename': 'E:\\stable-diffusion-webui-forge\\models\\Stable-diffusion\\nepotismFUXDEVSCHNELL_nepotismFUXV3Dit.safetensors', 'hash': '76323669'}, 'additional_modules': ['E:\\stable-diffusion-webui-forge\\models\\text_encoder\\t5xxl_fp16.safetensors', 'E:\\stable-diffusion-webui-forge\\models\\text_encoder\\clip_l.safetensors', 'E:\\stable-diffusion-webui-forge\\models\\VAE\\ae.safetensors'], 'unet_storage_dtype': None}
Using online LoRAs in FP16: False
Loading Model: {'checkpoint_info': {'filename': 'E:\\stable-diffusion-webui-forge\\models\\Stable-diffusion\\nepotismFUXDEVSCHNELL_nepotismFUXV3Dit.safetensors', 'hash': '76323669'}, 'additional_modules': ['E:\\stable-diffusion-webui-forge\\models\\text_encoder\\t5xxl_fp16.safetensors', 'E:\\stable-diffusion-webui-forge\\models\\text_encoder\\clip_l.safetensors', 'E:\\stable-diffusion-webui-forge\\models\\VAE\\ae.safetensors'], 'unet_storage_dtype': None}
[Unload] Trying to free all memory for cuda:0 with 0 models keep loaded ... Current free memory is 13247.48 MB ... Unload model JointTextEncoder Done.
StateDict Keys: {'transformer': 780, 'vae': 244, 'text_encoder': 196, 'text_encoder_2': 220, 'ignore': 0}
Using Default T5 Data Type: torch.float16
Using Detected UNet Type: torch.float8_e4m3fn
Working with z of shape (1, 16, 32, 32) = 16384 dimensions.
K-Model Created: {'storage_dtype': torch.float8_e4m3fn, 'computation_dtype': torch.bfloat16}
Calculating sha256 for E:\stable-diffusion-webui-forge\models\Stable-diffusion\nepotismFUXDEVSCHNELL_nepotismFUXV3Dit.safetensors: a41eaa1b3d3d6cf8f9dec5835aa0537c684b93c9ee660cb9cd06b652fb70eb3b
Model loaded in 6.2s (unload existing model: 5.0s, forge model load: 1.2s).
Skipping unconditional conditioning when CFG = 1. Negative Prompts are ignored.
[Unload] Trying to free 21095.34 MB for cuda:0 with 0 models keep loaded ... Done.
[Memory Management] Target: JointTextEncoder, Free GPU: 22898.09 MB, Model Require: 9569.49 MB, Previously Loaded: 0.00 MB, Inference Require: 8655.00 MB, Remaining: 4673.60 MB, All loaded to GPU.
Moving model(s) has taken 7.27 seconds
Traceback (most recent call last):
  File "E:\stable-diffusion-webui-forge\modules_forge\main_thread.py", line 30, in work
    self.result = self.func(*self.args, **self.kwargs)
  File "E:\stable-diffusion-webui-forge\modules\txt2img.py", line 121, in txt2img_function
    processed = processing.process_images(p)
  File "E:\stable-diffusion-webui-forge\modules\processing.py", line 816, in process_images
    res = process_images_inner(p)
  File "E:\stable-diffusion-webui-forge\modules\processing.py", line 929, in process_images_inner
    p.setup_conds()
  File "E:\stable-diffusion-webui-forge\modules\processing.py", line 1519, in setup_conds
    super().setup_conds()
  File "E:\stable-diffusion-webui-forge\modules\processing.py", line 501, in setup_conds
    self.c = self.get_conds_with_caching(prompt_parser.get_multicond_learned_conditioning, prompts, total_steps, [self.cached_c], self.extra_network_data)
  File "E:\stable-diffusion-webui-forge\modules\processing.py", line 470, in get_conds_with_caching
    cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
  File "E:\stable-diffusion-webui-forge\modules\prompt_parser.py", line 262, in get_multicond_learned_conditioning
    learned_conditioning = get_learned_conditioning(model, prompt_flat_list, steps, hires_steps, use_old_scheduling)
  File "E:\stable-diffusion-webui-forge\modules\prompt_parser.py", line 189, in get_learned_conditioning
    conds = model.get_learned_conditioning(texts)
  File "E:\stable-diffusion-webui-forge\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "E:\stable-diffusion-webui-forge\backend\diffusion_engine\flux.py", line 78, in get_learned_conditioning
    cond_l, pooled_l = self.text_processing_engine_l(prompt)
  File "E:\stable-diffusion-webui-forge\backend\text_processing\classic_engine.py", line 268, in __call__
    z = self.process_tokens(tokens, multipliers)
  File "E:\stable-diffusion-webui-forge\backend\text_processing\classic_engine.py", line 301, in process_tokens
    z = self.encode_with_transformers(tokens)
  File "E:\stable-diffusion-webui-forge\backend\text_processing\classic_engine.py", line 134, in encode_with_transformers
    z = outputs.hidden_states[layer_id]
TypeError: tuple indices must be integers or slices, not float
tuple indices must be integers or slices, not float

Any suggestions for things to try to work around this issue?