Delete illuminati_diffusion_v1

illuminati_diffusion_v1/README.md

@@ -1,44 +0,0 @@
----
-license: openrail++
-language:
-- en
-library_name: diffusers
-pipeline_tag: text-to-image
-tags:
-- art
----
-![image](https://raw.githubusercontent.com/caacoe/ID_resource/ae7c7cf72526bc89a4bdc027877badf5d783ba05/CaitlinCross.png)
-<sub>studio photo closeup portrait victorian (woman1-420:1.3) with blue eyes and red hair wearing intricate silver metal crystal medieval armour (sitting inside a castle:1.3), black victorian attire, rembrandt light, zbrush, (black background:1.7), glossy, rtx, reflections, soft light, soft shadows, dramatic lighting, atmospheric, global illumination, unreal, octane, (two tone lighting:1.5), (cyan light:1.4), alphonse mucha, bokeh
-Negative prompt: nfixernext, nfixer, nfixernext, nfixer, nfixernext, nfixer,hands, arms, illustration, fake, cgi, drawing, miniature, blocky, angular, glasses, (large eyes:1.3), freckles, face paint, mask, glasses, tattoos
-Steps: 120, Sampler: Euler a, CFG scale: 3, Seed: 201306749, Size: 1024x1024, Model hash: 639d0db70f, Denoising strength: 0.3, ENSD: 3, Mask blur: 4, SD upscale overlap: 64, SD upscale upscaler: LDSR</sub>
-
-
-# Illuminati Diffusion v1.0
-
-Illuminati Diffusion is a latent text-to-image diffusion model that has been conditioned on high aesthetic synthetic images through fine-tuning. It was trained on 82,000 images locally on my PC with a single 3090ti, taking over 100 hours.
-
-- [Illuminati Diffusion v1.0 Safetensors](https://huggingface.co/IlluminatiAI/Illuminati_Diffusion_v1.0/blob/main/illuminati_diffusion_v1.0.safetensors): The model file.
-- [Illuminati Diffusion v1.0 Inference Config](https://huggingface.co/IlluminatiAI/Illuminati_Diffusion_v1.0/raw/main/illuminati_diffusion_v1.0.yaml): A file included to allow for inference with Automatic's WebUI and with the original Stable Diffusion codebase. (right click > save target as/link as)
-- [Illuminati Diffusion v1.0 supplementary TI embeddings](https://huggingface.co/IlluminatiAI/Illuminati_Diffusion_v1.0/tree/main/embeds): A series of both positive and negative embeds. nfixer is recommended for all gens.
-
-
-## License
-
-This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
-The CreativeML OpenRAIL License specifies: 
-
-1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content 
-2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license
-3. You may re-distribute the weights and use the model commercially and/or as a service. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully)
-[Please read the full license here](https://huggingface.co/spaces/CompVis/stable-diffusion-license)
-
-Note - Hosted inference API does not work as my model uses safetensors in the diffusers model, it doesn't appear to be compatible with Hugging Face's API, however the model does work correctly for any software which supports this.
-
-If you enjoy this model, perhaps you might consider supporting me on [Patreon ](https://patreon.com/user?u=55366974).
-[![Patreon](https://github.com/caacoe/ID_resource/blob/main/patreon-logo.png?raw=true)](https://patreon.com/user?u=55366974)
-
-In order to reach us, you can join our [Discord server](https://discord.gg/HqdffGgeBa).
-
-[![Discord Server](https://github.com/caacoe/ID_resource/blob/main/invite.png?raw=true)](https://discord.gg/HqdffGgeBa)
-
-Follow me on my [Twitter page](https://twitter.com/cac0e).

illuminati_diffusion_v1/args.json

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-{
-  "shuffle_per_epoch": true,
-  "attention": "xformers",
-  "model_variant": "base",
-  "aspect_mode": "dynamic",
-  "aspect_mode_action_preference": "add",
-  "use_ema": true,
-  "clip_penultimate": true,
-  "conditional_dropout": 0.5,
-  "disable_cudnn_benchmark": false,
-  "use_text_files_as_captions": true,
-  "sample_from_batch": 4,
-  "stop_text_encoder_training": 999999999999999,
-  "use_bucketing": true,
-  "regenerate_latent_cache": true,
-  "sample_on_training_start": false,
-  "add_class_images_to_dataset": false,
-  "auto_balance_concept_datasets": false,
-  "sample_aspect_ratios": false,
-  "dataset_repeats": 1,
-  "save_every_n_epoch": 1,
-  "pretrained_model_name_or_path": "D:\\illuminatidiffusion_b3\\nextstep\\quit_epoch_7",
-  "pretrained_vae_name_or_path": "",
-  "tokenizer_name": null,
-  "instance_data_dir": null,
-  "class_data_dir": null,
-  "instance_prompt": null,
-  "class_prompt": null,
-  "save_sample_prompt": null,
-  "n_save_sample": 4,
-  "sample_height": 1024,
-  "sample_width": 1024,
-  "save_guidance_scale": 7.5,
-  "save_infer_steps": 30,
-  "with_prior_preservation": false,
-  "prior_loss_weight": 1.0,
-  "num_class_images": 200,
-  "output_dir": "D:\\illuminatidiffusion_b3\\onlyflavor",
-  "seed": 1234,
-  "resolution": 768,
-  "center_crop": false,
-  "train_text_encoder": true,
-  "train_batch_size": 14,
-  "sample_batch_size": 4,
-  "num_train_epochs": 30,
-  "max_train_steps": 5730,
-  "gradient_accumulation_steps": 1,
-  "gradient_checkpointing": true,
-  "learning_rate": 1e-06,
-  "scale_lr": false,
-  "lr_scheduler": "constant",
-  "lr_warmup_steps": 0,
-  "use_8bit_adam": true,
-  "adam_beta1": 0.9,
-  "adam_beta2": 0.999,
-  "adam_weight_decay": 0.01,
-  "adam_epsilon": 1e-08,
-  "max_grad_norm": 1.0,
-  "push_to_hub": false,
-  "hub_token": null,
-  "hub_model_id": null,
-  "logging_dir": "logs",
-  "log_interval": 10,
-  "sample_step_interval": 15000,
-  "mixed_precision": "bf16",
-  "local_rank": -1,
-  "concepts_list": [
-    {
-      "instance_prompt": "",
-      "class_prompt": "",
-      "instance_data_dir": "D:/flavouredtraining",
-      "class_data_dir": "",
-      "flip_p": "",
-      "do_not_balance": 1,
-      "use_sub_dirs": 0
-    }
-  ],
-  "save_sample_controlled_seed": null,
-  "detect_full_drive": true,
-  "send_telegram_updates": true,
-  "telegram_chat_id": "575377029",
-  "telegram_token": "5629476874:AAGM77PxzXB4ZfIkOUeM8a-AiiVVxNZuUJQ",
-  "use_deepspeed_adam": false,
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illuminati_diffusion_v1/gitattributes.txt

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illuminati_diffusion_v1/illuminati_diffusion_v1.0.yaml

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-model:
-  base_learning_rate: 1.0e-4
-  target: ldm.models.diffusion.ddpm.LatentDiffusion
-  params:
-    parameterization: "v"
-    linear_start: 0.00085
-    linear_end: 0.0120
-    num_timesteps_cond: 1
-    log_every_t: 200
-    timesteps: 1000
-    first_stage_key: "jpg"
-    cond_stage_key: "txt"
-    image_size: 64
-    channels: 4
-    cond_stage_trainable: false
-    conditioning_key: crossattn
-    monitor: val/loss_simple_ema
-    scale_factor: 0.18215
-    use_ema: False # we set this to false because this is an inference only config
-
-    unet_config:
-      target: ldm.modules.diffusionmodules.openaimodel.UNetModel
-      params:
-        use_checkpoint: True
-        use_fp16: True
-        image_size: 32 # unused
-        in_channels: 4
-        out_channels: 4
-        model_channels: 320
-        attention_resolutions: [ 4, 2, 1 ]
-        num_res_blocks: 2
-        channel_mult: [ 1, 2, 4, 4 ]
-        num_head_channels: 64 # need to fix for flash-attn
-        use_spatial_transformer: True
-        use_linear_in_transformer: True
-        transformer_depth: 1
-        context_dim: 1024
-        legacy: False
-
-    first_stage_config:
-      target: ldm.models.autoencoder.AutoencoderKL
-      params:
-        embed_dim: 4
-        monitor: val/rec_loss
-        ddconfig:
-          #attn_type: "vanilla-xformers"
-          double_z: true
-          z_channels: 4
-          resolution: 256
-          in_channels: 3
-          out_ch: 3
-          ch: 128
-          ch_mult:
-          - 1
-          - 2
-          - 4
-          - 4
-          num_res_blocks: 2
-          attn_resolutions: []
-          dropout: 0.0
-        lossconfig:
-          target: torch.nn.Identity
-
-    cond_stage_config:
-      target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
-      params:
-        freeze: True
-        layer: "penultimate"

illuminati_diffusion_v1/model_index.json

@@ -1,33 +0,0 @@
-{
-  "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.11.1",
-  "feature_extractor": [
-    null,
-    null
-  ],
-  "requires_safety_checker": null,
-  "safety_checker": [
-    null,
-    null
-  ],
-  "scheduler": [
-    "diffusers",
-    "DDIMScheduler"
-  ],
-  "text_encoder": [
-    "transformers",
-    "CLIPTextModel"
-  ],
-  "tokenizer": [
-    "transformers",
-    "CLIPTokenizer"
-  ],
-  "unet": [
-    "diffusers",
-    "UNet2DConditionModel"
-  ],
-  "vae": [
-    "diffusers",
-    "AutoencoderKL"
-  ]
-}

illuminati_diffusion_v1/scheduler/scheduler_config.json

@@ -1,21 +0,0 @@
-{
-  "_class_name": "DPMSolverMultistepScheduler",
-  "_diffusers_version": "0.11.1",
-  "algorithm_type": "dpmsolver++",
-  "beta_end": 0.012,
-  "beta_schedule": "scaled_linear",
-  "beta_start": 0.00085,
-  "clip_sample": false,
-  "dynamic_thresholding_ratio": 0.995,
-  "lower_order_final": true,
-  "num_train_timesteps": 1000,
-  "prediction_type": "v_prediction",
-  "sample_max_value": 1.0,
-  "set_alpha_to_one": false,
-  "skip_prk_steps": true,
-  "solver_order": 2,
-  "solver_type": "midpoint",
-  "steps_offset": 1,
-  "thresholding": false,
-  "trained_betas": null
-}

illuminati_diffusion_v1/text_encoder/config.json

@@ -1,24 +0,0 @@
-{
-  "architectures": [
-    "CLIPTextModel"
-  ],
-  "attention_dropout": 0.0,
-  "bos_token_id": 0,
-  "dropout": 0.0,
-  "eos_token_id": 2,
-  "hidden_act": "gelu",
-  "hidden_size": 1024,
-  "initializer_factor": 1.0,
-  "initializer_range": 0.02,
-  "intermediate_size": 4096,
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 77,
-  "model_type": "clip_text_model",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 23,
-  "pad_token_id": 1,
-  "projection_dim": 512,
-  "torch_dtype": "float32",
-  "transformers_version": "4.26.0.dev0",
-  "vocab_size": 49408
-}

illuminati_diffusion_v1/text_encoder/model.safetensors

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-size 1361597018

illuminati_diffusion_v1/tokenizer/special_tokens_map.json

@@ -1,24 +0,0 @@
-{
-  "bos_token": {
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "!",
-  "unk_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}

illuminati_diffusion_v1/tokenizer/tokenizer_config.json

@@ -1,34 +0,0 @@
-{
-  "add_prefix_space": false,
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<|startoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "do_lower_case": true,
-  "eos_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "errors": "replace",
-  "model_max_length": 77,
-  "name_or_path": "D:\\illuminatidiffusion_b3\\nextstep\\quit_epoch_7\\tokenizer",
-  "pad_token": "<|endoftext|>",
-  "special_tokens_map_file": "./special_tokens_map.json",
-  "tokenizer_class": "CLIPTokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}

illuminati_diffusion_v1/unet/config.json

@@ -1,49 +0,0 @@
-{
-  "_class_name": "UNet2DConditionModel",
-  "_diffusers_version": "0.11.1",
-  "act_fn": "silu",
-  "attention_head_dim": [
-    5,
-    10,
-    20,
-    20
-  ],
-  "block_out_channels": [
-    320,
-    640,
-    1280,
-    1280
-  ],
-  "center_input_sample": false,
-  "class_embed_type": null,
-  "cross_attention_dim": 1024,
-  "down_block_types": [
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D",
-    "CrossAttnDownBlock2D",
-    "DownBlock2D"
-  ],
-  "downsample_padding": 1,
-  "dual_cross_attention": false,
-  "flip_sin_to_cos": true,
-  "freq_shift": 0,
-  "in_channels": 4,
-  "layers_per_block": 2,
-  "mid_block_scale_factor": 1,
-  "mid_block_type": "UNetMidBlock2DCrossAttn",
-  "norm_eps": 1e-05,
-  "norm_num_groups": 32,
-  "num_class_embeds": null,
-  "only_cross_attention": false,
-  "out_channels": 4,
-  "resnet_time_scale_shift": "default",
-  "sample_size": 32,
-  "up_block_types": [
-    "UpBlock2D",
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D",
-    "CrossAttnUpBlock2D"
-  ],
-  "upcast_attention": false,
-  "use_linear_projection": false
-}

illuminati_diffusion_v1/vae/config.json

@@ -1,29 +0,0 @@
-{
-  "_class_name": "AutoencoderKL",
-  "_diffusers_version": "0.11.1",
-  "act_fn": "silu",
-  "block_out_channels": [
-    128,
-    256,
-    512,
-    512
-  ],
-  "down_block_types": [
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D",
-    "DownEncoderBlock2D"
-  ],
-  "in_channels": 3,
-  "latent_channels": 4,
-  "layers_per_block": 2,
-  "norm_num_groups": 32,
-  "out_channels": 3,
-  "sample_size": 256,
-  "up_block_types": [
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D",
-    "UpDecoderBlock2D"
-  ]
-}

illuminati_diffusion_v1/vae/diffusion_pytorch_model.safetensors

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