Upload 15 files
Browse files- README.md +135 -0
- SDArt_catstravaganza.ckpt +3 -0
- dataset.zip +3 -0
- model_index.json +33 -0
- scheduler/scheduler_config.json +16 -0
- text_encoder/config.json +25 -0
- text_encoder/pytorch_model.bin +3 -0
- tokenizer/merges.txt +0 -0
- tokenizer/special_tokens_map.json +24 -0
- tokenizer/tokenizer_config.json +35 -0
- tokenizer/vocab.json +0 -0
- unet/config.json +51 -0
- unet/diffusion_pytorch_model.bin +3 -0
- vae/config.json +31 -0
- vae/diffusion_pytorch_model.bin +3 -0
README.md
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---
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license: creativeml-openrail-m
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---
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---
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language:
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- en
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license: creativeml-openrail-m
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thumbnail: "https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/showcase.jpg"
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tags:
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- stable-diffusion
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- text-to-image
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- image-to-image
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---
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# PoW : CATSTRAVAGANZA !
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![Showcase](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/showcase.jpg)
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## Theme
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> Orb-like eyes, mischief, and surprise
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> Cat paws tip-a-tap at your side
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> With their fanged teeth and coy mystique
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> They gaze up at you ever so sweet
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> Won’t you give them a treat?
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This POW’s all about our favorite feline friends wherein we are absolutely not biased. Be as creative as you can!
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Whether it be a cat made of cotton candy, a grumpy cat made of storm clouds, or just your regular degular tabby cat. Bring them all here and may the best cat reign supreme!
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“It’s raining cats and cats out here!”
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* Join us for a cat-stravaganza of fun
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* Cute and cuddly - show us your paw-sitively purrfect creations!
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* Whisk-er away your doubts and unleash your cat-titude
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* Wander into the canvas alongside your meow-gnificant feline friends!
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## Model description
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This is a model related to the "Picture of the Week" contest on Stable Diffusion discord.
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I try to make a model out of all the submission for people to continue enjoy the theme after the even, and see a little of their designs in other people's creations. The main token just changed to "SDArt", usually staying the same week to week. I balance the learning on the low side, so that it doesn't just replicate creations.
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The total dataset is made of 61 pictures. It was trained on [Stable diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5). I used [EveryDream](https://github.com/victorchall/EveryDream2trainer) to do the training, 100 total repeat per picture. The pictures were tagged using the token "SDArt", and an arbitrary token I choose for each submission. The dataset is provided below, as well as a list of usernames and their corresponding token.
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The recommended sampling is UniPC on 15 steps, CFGS 5 .
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## Trained tokens
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* SDArt
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* **User** => **Token**
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* Aiska#5641 => dyce
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* Akumetsu971#9982 => ohwx
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* alex1729#4669 => bnp
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* andrekerygma#4898 => tobi
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* balrogdx#7106 => keel
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* BeardedWhale#3993 => conv
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* beta_caojin#9338 => cov
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* bitspirit3#1653 => aten
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* Brett#2283 => stg
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* bWm_nubby#6416 => fcu
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* csunberry#0594 => nwsl
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* Dexyel#9083 => cous
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* Dreamck#2108 => gare
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* Dries#2321 => mth
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* dunkeroni#4269 => nrf
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* DylanWalker#9705 => elio
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* Eface#8250 => gani
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* Eppinette-Chi#6220 => pfa
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* espasmo#9486 => kprc
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* Guizmus#9881 => kuro
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* Havok#2933 => ndi
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* Horvallis#7915 => asot
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* Jeremy#6194 => sill
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* joachim#4676 => coyi
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* Junglerally#3955 => bsp
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* katmoget#4491 => psst
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* Kaz#5485 => sqm
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* King Pendragon#3589 => irgc
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* Kingpin#2557 => buka
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* Lenny_dV#6843 => lili
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* Lord Parfington#0012 => hns
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* marjan2k#5277 => cq
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* MooDFooD#6245 => bdg
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* mr.katkot#5949 => scd
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* Munkyfoot#7944 => byes
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* NorTroll#1798 => dany
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* Omnia#2931 => yler
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* Onusai#6441 => aroa
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* owleye#1290 => avel
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* Phaff#1970 => vaw
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* piscabo#8649 => zaki
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* qushkitti#0978 => muna
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* Redinhead#3342 => ewe
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* ResidentChiefNZ#6989 => guin
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* Sam#8080 => erra
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* SirVeggie#0230 => urd
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* Smol Sus#0909 => nasi
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* sometimes#8916 => vini
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* SpaceCypher#6900 => fbs
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* tazi#2574 => crit
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* Trash--Panda#6213 => doa
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* ulla_diffusion#0451 => mlas
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* UniversityEuphoric#3284 => ylor
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* uwyne#1111 => isch
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* vcm07#7281 => phol
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* VereVolf#5658 => vedi
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* Vil#0404 => dds
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* Wipeout#0031 => acu
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* wpatzz#5836 => pte
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* xThIsIsBoToXx#8765 => oxi
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* yamination#7634 => bsgo
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## Download links
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[SafeTensors](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/SDArt-Catstravaganza.safetensors)
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[CKPT](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/SDArt-Catstravaganza.ckpt)
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[Dataset](https://huggingface.co/Guizmus/SDArt_Catstravaganza/resolve/main/dataset.zip)
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## 🧨 Diffusers
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This model can be used just like any other Stable Diffusion model. For more information,
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
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You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
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```python
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "Guizmus/SDArt_Catstravaganza"
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = pipe.to("cuda")
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prompt = "SDArt dyce"
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image = pipe(prompt).images[0]
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image.save("./SDArt.png")
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```
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SDArt_catstravaganza.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1af4fc3f55a7d32fab870ade39cbc1968c77bc6813fa8fbcb437ad24ef6b6098
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size 2132856622
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dataset.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:fc3ce847951d5d0e3b7ac235543475ad318520541709ff9c2c1aa954f71e54e7
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size 57236722
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model_index.json
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{
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"_class_name": "StableDiffusionPipeline",
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"_diffusers_version": "0.13.0",
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"feature_extractor": [
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null,
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null
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],
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"requires_safety_checker": null,
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"safety_checker": [
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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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"DDPMScheduler"
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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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"tokenizer": [
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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": "DDPMScheduler",
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"_diffusers_version": "0.13.0",
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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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"clip_sample_range": 1.0,
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"num_train_timesteps": 1000,
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"prediction_type": "epsilon",
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"trained_betas": null,
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"variance_type": "fixed_small"
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}
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text_encoder/config.json
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{
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"_name_or_path": "F:\\AI\\Data\\Diffusers\\stable-diffusion-v1-5",
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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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"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": "float32",
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"transformers_version": "4.25.1",
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"vocab_size": 49408
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}
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text_encoder/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c3e3ed691b4a373924e3caf02a5a960b2f0dd855f05b99add977f1f693e184ba
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size 492308087
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tokenizer/merges.txt
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tokenizer/special_tokens_map.json
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{
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"bos_token": {
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},
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"eos_token": {
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},
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"single_word": false
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}
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}
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tokenizer/tokenizer_config.json
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{
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},
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"errors": "replace",
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"name_or_path": "F:\\AI\\Data\\Diffusers\\stable-diffusion-v1-5",
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"pad_token": "<|endoftext|>",
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"special_tokens_map_file": "./special_tokens_map.json",
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"tokenizer_class": "CLIPTokenizer",
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"unk_token": {
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"single_word": false
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},
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"use_fast": false
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35 |
+
}
|
tokenizer/vocab.json
ADDED
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unet/config.json
ADDED
@@ -0,0 +1,51 @@
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|
1 |
+
{
|
2 |
+
"_class_name": "UNet2DConditionModel",
|
3 |
+
"_diffusers_version": "0.13.0",
|
4 |
+
"_name_or_path": "F:\\AI\\Data\\Diffusers\\stable-diffusion-v1-5",
|
5 |
+
"act_fn": "silu",
|
6 |
+
"attention_head_dim": 8,
|
7 |
+
"block_out_channels": [
|
8 |
+
320,
|
9 |
+
640,
|
10 |
+
1280,
|
11 |
+
1280
|
12 |
+
],
|
13 |
+
"center_input_sample": false,
|
14 |
+
"class_embed_type": null,
|
15 |
+
"conv_in_kernel": 3,
|
16 |
+
"conv_out_kernel": 3,
|
17 |
+
"cross_attention_dim": 768,
|
18 |
+
"down_block_types": [
|
19 |
+
"CrossAttnDownBlock2D",
|
20 |
+
"CrossAttnDownBlock2D",
|
21 |
+
"CrossAttnDownBlock2D",
|
22 |
+
"DownBlock2D"
|
23 |
+
],
|
24 |
+
"downsample_padding": 1,
|
25 |
+
"dual_cross_attention": false,
|
26 |
+
"flip_sin_to_cos": true,
|
27 |
+
"freq_shift": 0,
|
28 |
+
"in_channels": 4,
|
29 |
+
"layers_per_block": 2,
|
30 |
+
"mid_block_scale_factor": 1,
|
31 |
+
"mid_block_type": "UNetMidBlock2DCrossAttn",
|
32 |
+
"norm_eps": 1e-05,
|
33 |
+
"norm_num_groups": 32,
|
34 |
+
"num_class_embeds": null,
|
35 |
+
"only_cross_attention": false,
|
36 |
+
"out_channels": 4,
|
37 |
+
"projection_class_embeddings_input_dim": null,
|
38 |
+
"resnet_time_scale_shift": "default",
|
39 |
+
"sample_size": 64,
|
40 |
+
"time_cond_proj_dim": null,
|
41 |
+
"time_embedding_type": "positional",
|
42 |
+
"timestep_post_act": null,
|
43 |
+
"up_block_types": [
|
44 |
+
"UpBlock2D",
|
45 |
+
"CrossAttnUpBlock2D",
|
46 |
+
"CrossAttnUpBlock2D",
|
47 |
+
"CrossAttnUpBlock2D"
|
48 |
+
],
|
49 |
+
"upcast_attention": false,
|
50 |
+
"use_linear_projection": false
|
51 |
+
}
|
unet/diffusion_pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00d7da30a574dcff216c42527b1c80af73fad0e92ed2e2afb5c6fe5c84ed1c5e
|
3 |
+
size 3438364325
|
vae/config.json
ADDED
@@ -0,0 +1,31 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_class_name": "AutoencoderKL",
|
3 |
+
"_diffusers_version": "0.13.0",
|
4 |
+
"_name_or_path": "F:\\AI\\Data\\Diffusers\\stable-diffusion-v1-5",
|
5 |
+
"act_fn": "silu",
|
6 |
+
"block_out_channels": [
|
7 |
+
128,
|
8 |
+
256,
|
9 |
+
512,
|
10 |
+
512
|
11 |
+
],
|
12 |
+
"down_block_types": [
|
13 |
+
"DownEncoderBlock2D",
|
14 |
+
"DownEncoderBlock2D",
|
15 |
+
"DownEncoderBlock2D",
|
16 |
+
"DownEncoderBlock2D"
|
17 |
+
],
|
18 |
+
"in_channels": 3,
|
19 |
+
"latent_channels": 4,
|
20 |
+
"layers_per_block": 2,
|
21 |
+
"norm_num_groups": 32,
|
22 |
+
"out_channels": 3,
|
23 |
+
"sample_size": 512,
|
24 |
+
"scaling_factor": 0.18215,
|
25 |
+
"up_block_types": [
|
26 |
+
"UpDecoderBlock2D",
|
27 |
+
"UpDecoderBlock2D",
|
28 |
+
"UpDecoderBlock2D",
|
29 |
+
"UpDecoderBlock2D"
|
30 |
+
]
|
31 |
+
}
|
vae/diffusion_pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eb128b1f37e0c381c440128b217d29613b3e08b9e4ea7f20466424145ba538b0
|
3 |
+
size 167402961
|