David Burnett commited on
Commit
352e04d
1 Parent(s): 92a6a4e

Initail Lpad, not tested

Browse files
.gitignore ADDED
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+ .DS_Store
README.md CHANGED
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  ---
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  license: openrail++
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: openrail++
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  ---
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+
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+ This Repo contains a diffusers format version of the PixArt-Sigma Repos
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+ PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers
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+ PixArt-alpha/PixArt-Sigma-XL-2-2K-MS
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+ with the models loaded and saved in fp16 and bf16 formats, roughly halfing their sizes.
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+ It can be used where download bandwith, memory or diskspace are relatively low, a T4 Colab instance for example.
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+
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+ To use in a diffusers script you currently(15/04/2024) need to use a Source distribution of Diffusers
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+ and an extra 'patch' from the PixArt-Alpha's teams Sigma Github repo
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+
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+ ___NOTE: This Model has been converted but not successfully tested, looks like some changes to PixArt or Diffuser are needed
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+
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+ ~~
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+ A simple Colab notebook can be found at https://github.com/Vargol/StableDiffusionColabs/blob/main/PixArt/PixArt_Sigma.ipynb
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+
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+ a Diffusers script looks like this.
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+
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+ ```py
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+ import random
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+ import sys
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+ import torch
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+ from diffusers import Transformer2DModel
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+ from scripts.diffusers_patches import pixart_sigma_init_patched_inputs, PixArtSigmaPipeline
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+
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+ assert getattr(Transformer2DModel, '_init_patched_inputs', False), "Need to Upgrade diffusers: pip install git+https://github.com/huggingface/diffusers"
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+ setattr(Transformer2DModel, '_init_patched_inputs', pixart_sigma_init_patched_inputs)
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+ device = 'mps'
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+ weight_dtype = torch.bfloat16
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+
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+ pipe = PixArtSigmaPipeline.from_pretrained(
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+ "/Vargol/PixArt-Sigma_16bit",
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+ torch_dtype=weight_dtype,
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+ variant="fp16",
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+ use_safetensors=True,
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+ )
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+
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+ # Enable memory optimizations.
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+ # pipe.enable_model_cpu_offload()
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+ pipe.to(device)
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+
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+ prompt = "Cinematic science fiction film still.A cybernetic demon awaits her friend in a bar selling flaming oil drinks. The barman is a huge tree being, towering over the demon"
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+
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+ for i in range(4):
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+
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+ seed = random.randint(0, sys.maxsize)
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+ generator = torch.Generator("mps").manual_seed(seed);
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+
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+ image = pipe(prompt, generator=generator, num_iferencenum_inference_steps=40).images[0]
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+ image.save(f"pas_{seed}.png")a
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+ ~~
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+
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+ ```
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+
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+ {
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+ "_class_name": "PixArtSigmaPipeline",
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+ "_diffusers_version": "0.28.0.dev0",
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+ "_name_or_path": "PixArt-alpha/pixart_sigma_sdxlvae_T5_diffusers",
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+ "scheduler": [
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+ "diffusers",
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+ "DPMSolverMultistepScheduler"
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+ ],
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+ "text_encoder": [
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+ "transformers",
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+ "T5EncoderModel"
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+ ],
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+ "tokenizer": [
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+ "transformers",
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+ "T5Tokenizer"
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+ ],
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+ "transformer": [
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+ "diffusers",
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+ "Transformer2DModel"
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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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+ {
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+ "_class_name": "DPMSolverMultistepScheduler",
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+ "_diffusers_version": "0.28.0.dev0",
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+ "algorithm_type": "dpmsolver++",
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+ "beta_end": 0.02,
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+ "beta_schedule": "linear",
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+ "beta_start": 0.0001,
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+ "euler_at_final": false,
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+ "final_sigmas_type": "zero",
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+ "lower_order_final": true,
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+ "num_train_timesteps": 1000,
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+ "prediction_type": "epsilon",
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+ "sample_max_value": 1.0,
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+ "solver_order": 2,
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+ "solver_type": "midpoint",
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+ "steps_offset": 0,
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+ "thresholding": false,
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+ "timestep_spacing": "linspace",
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+ "trained_betas": null,
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+ "use_karras_sigmas": false,
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+ "use_lu_lambdas": false,
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+ "variance_type": null
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+ }
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+ "<extra_id_99>": 32000,
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tokenizer/special_tokens_map.json ADDED
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+ {
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+ "additional_special_tokens": [
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+ "<extra_id_0>",
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+ "<extra_id_1>",
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+ "<extra_id_2>",
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+ }
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+ }
tokenizer/spiece.model ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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+ size 791656
tokenizer/tokenizer_config.json ADDED
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