Upload 24 files
Browse files- logs/text2image-fine-tune-sdxl/1721635986.7172298/events.out.tfevents.1721635986.banff-pl1-s30-14.3908471.1 +3 -0
- logs/text2image-fine-tune-sdxl/1721635986.7293065/hparams.yml +60 -0
- logs/text2image-fine-tune-sdxl/events.out.tfevents.1721635986.banff-pl1-s30-14.3908471.0 +3 -0
- model_index.json +42 -0
- scheduler/scheduler_config.json +23 -0
- test.py +93 -0
- text_encoder/config.json +25 -0
- text_encoder/model.safetensors +3 -0
- text_encoder_2/config.json +25 -0
- text_encoder_2/model.safetensors +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +30 -0
- tokenizer/vocab.json +0 -0
- tokenizer_2/merges.txt +0 -0
- tokenizer_2/special_tokens_map.json +24 -0
- tokenizer_2/tokenizer_config.json +38 -0
- tokenizer_2/vocab.json +0 -0
- unet/config.json +73 -0
- unet/diffusion_pytorch_model-00001-of-00002.safetensors +3 -0
- unet/diffusion_pytorch_model-00002-of-00002.safetensors +3 -0
- unet/diffusion_pytorch_model.safetensors.index.json +0 -0
- vae/config.json +37 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
logs/text2image-fine-tune-sdxl/1721635986.7172298/events.out.tfevents.1721635986.banff-pl1-s30-14.3908471.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:20608f3765c8f550a93198e7da5f37394ca6d73dc7f33c1d48aaac47914f827e
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size 3121
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logs/text2image-fine-tune-sdxl/1721635986.7293065/hparams.yml
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adam_beta1: 0.9
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 0.01
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allow_tf32: false
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cache_dir: ''
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caption_column: text
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center_crop: true
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checkpointing_steps: 10000
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: /shared/prerelease/home/gomishra/shareddata/ril_data/celeb_dataset_name_and_features
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enable_npu_flash_attention: false
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enable_xformers_memory_efficient_attention: false
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gradient_accumulation_steps: 16
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gradient_checkpointing: true
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hub_model_id: null
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hub_token: null
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image_column: image
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learning_rate: 1.0e-06
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local_rank: 0
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logging_dir: logs
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lr_scheduler: constant
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lr_warmup_steps: 0
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max_grad_norm: 1.0
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max_train_samples: null
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max_train_steps: 1583
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mixed_precision: fp16
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noise_offset: 0
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num_train_epochs: 1
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num_validation_images: 4
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output_dir: caleb_training
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prediction_type: null
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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proportion_empty_prompts: 0.1
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push_to_hub: false
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random_flip: true
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report_to: tensorboard
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resolution: 512
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resume_from_checkpoint: null
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revision: null
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scale_lr: false
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seed: 0
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snr_gamma: null
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timestep_bias_begin: 0
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timestep_bias_end: 1000
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timestep_bias_multiplier: 1.0
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timestep_bias_portion: 0.25
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timestep_bias_strategy: none
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train_batch_size: 1
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train_data_dir: null
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use_8bit_adam: false
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use_ema: false
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validation_epochs: 5
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validation_prompt: Elizabeth Gutierrez, arched eyebrows, attractive, brown hair, heavy
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makeup, high cheekbones, mouth sligh , no beard, pointy nose, smiling, straight
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hair, wearing earrings, wearing lipstick, young
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variant: null
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logs/text2image-fine-tune-sdxl/events.out.tfevents.1721635986.banff-pl1-s30-14.3908471.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:36a78065c9748af754569655b53578f9a1001a8c5ed19a388579b5e8d6ed6b75
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size 12368835
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model_index.json
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{
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"_class_name": "StableDiffusionXLPipeline",
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"_diffusers_version": "0.30.0.dev0",
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"_name_or_path": "stabilityai/stable-diffusion-xl-base-1.0",
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"feature_extractor": [
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null,
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null
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],
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"force_zeros_for_empty_prompt": true,
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"image_encoder": [
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null,
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null
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],
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"scheduler": [
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"diffusers",
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"EulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"tokenizer_2": [
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"transformers",
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"CLIPTokenizer"
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],
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"unet": [
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"diffusers",
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"UNet2DConditionModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "EulerDiscreteScheduler",
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"_diffusers_version": "0.30.0.dev0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"clip_sample": false,
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"final_sigmas_type": "zero",
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"interpolation_type": "linear",
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"rescale_betas_zero_snr": false,
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"sample_max_value": 1.0,
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"set_alpha_to_one": false,
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"sigma_max": null,
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"sigma_min": null,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"timestep_spacing": "leading",
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"timestep_type": "discrete",
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"trained_betas": null,
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"use_karras_sigmas": false
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}
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test.py
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import torch
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import os
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import torch.distributed as dist
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import torch.nn as nn
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from torch.nn.parallel import DistributedDataParallel
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from accelerate import PartialState
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from diffusers import StableDiffusionPipeline
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from diffusers import DiffusionPipeline
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#model_path = "/home/gomishra/diffusers.old/examples/text_to_image/caleb_training_2"
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#model_path ="/home/gomishra/Reliance/shareddata/reliance-model-lora-sdxl/"
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model_path ="/shared/prerelease/home/gomishra/diffusers/examples/text_to_image/caleb_training"
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#pipe = DiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16, variant="fp16",
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#use_safetensors=True,)
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pipe =DiffusionPipeline.from_pretrained(model_path, torch_dtype=torch.float16)
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distributed_state = PartialState()
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pipe.to(distributed_state.device)
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#pipe.to("cuda")
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refiner = DiffusionPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-refiner-1.0",
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text_encoder_2=pipe.text_encoder_2,
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vae=pipe.vae,
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torch_dtype=torch.float16,
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use_safetensors=True,
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variant="fp16")
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refiner.to("cuda")
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prompts = {
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"amitabh bachchan":"amitabh bachchan in black suit with blue background and KBC as logo",
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"Prabhas":"prabhas with green background ",
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"Shah Rukh Khan":"Shah Rukh Khan on night market street",
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"Hritik Roshan":"Hritik Roshan singing on a stage at night "
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}
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folder_name = model_path.split("/")[-2]
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#outDir = f"/data3/harshita_output/{folder_name}"
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#outDir = f"/home/aac/sdxl_node2/output/try/{folder_name}"
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outDir =f"/shared/prerelease/home/gomishra/diffusers/examples/text_to_image/outputdir"
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if not os.path.exists(outDir):
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os.makedirs(outDir)
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for key in list(prompts.keys()):
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print(key)
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prompt=prompts[key]
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image = pipe(
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prompt=prompt,
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num_inference_steps=50,
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denoising_end=0.8,
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guidance_scale=7.5,
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output_type="latent",
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).images
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image = refiner(
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prompt=prompt,
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num_inference_steps=50,
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denoising_start=0.8,
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image=image,
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).images[0]
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image.save(f"{outDir}/{key}.png")
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text_encoder/config.json
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{
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"_name_or_path": "/shared/prerelease/home/gomishra/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "float16",
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"transformers_version": "4.42.4",
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"vocab_size": 49408
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}
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text_encoder/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd
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size 246144152
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text_encoder_2/config.json
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{
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"_name_or_path": "/shared/prerelease/home/gomishra/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/text_encoder_2",
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"architectures": [
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"CLIPTextModelWithProjection"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "gelu",
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"hidden_size": 1280,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 5120,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 20,
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"num_hidden_layers": 32,
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"pad_token_id": 1,
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"projection_dim": 1280,
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"torch_dtype": "float16",
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"transformers_version": "4.42.4",
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"vocab_size": 49408
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}
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text_encoder_2/model.safetensors
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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tokenizer/tokenizer_config.json
ADDED
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tokenizer/vocab.json
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tokenizer_2/merges.txt
ADDED
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tokenizer_2/special_tokens_map.json
ADDED
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tokenizer_2/tokenizer_config.json
ADDED
@@ -0,0 +1,38 @@
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tokenizer_2/vocab.json
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unet/config.json
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unet/diffusion_pytorch_model-00001-of-00002.safetensors
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unet/diffusion_pytorch_model-00002-of-00002.safetensors
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unet/diffusion_pytorch_model.safetensors.index.json
ADDED
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vae/config.json
ADDED
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vae/diffusion_pytorch_model.safetensors
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