add pokemon model from lambdalabs

README.md

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+---
+language: 
+  - en
+thumbnail: "https://s3.amazonaws.com/moonup/production/uploads/1663756797814-62bd5f951e22ec84279820e8.png"
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+datasets:
+- lambdalabs/pokemon-blip-captions
+---
+
+__Stable Diffusion fine tuned on Pokémon by [Lambda Labs](https://lambdalabs.com/).__
+
+Put in a text prompt and generate your own Pokémon character, no "prompt engineering" required!
+
+If you want to find out how to train your own Stable Diffusion variants, see this [example](https://github.com/LambdaLabsML/examples/tree/main/stable-diffusion-finetuning) from Lambda Labs.
+
+
+![image.png](https://s3.amazonaws.com/moonup/production/uploads/1663756797814-62bd5f951e22ec84279820e8.png)
+
+> Girl with a pearl earring, Cute Obama creature, Donald Trump, Boris Johnson, Totoro, Hello Kitty
+
+## Usage
+
+```bash
+!pip install diffusers==0.3.0
+!pip install transformers scipy ftfy
+```
+
+```python
+import torch
+from diffusers import StableDiffusionPipeline
+from torch import autocast
+
+pipe = StableDiffusionPipeline.from_pretrained("lambdalabs/sd-pokemon-diffusers", torch_dtype=torch.float16)  
+pipe = pipe.to("cuda")
+
+prompt = "Yoda"
+scale = 10
+n_samples = 4
+
+# Sometimes the nsfw checker is confused by the Pokémon images, you can disable
+# it at your own risk here
+disable_safety = False
+
+if disable_safety:
+  def null_safety(images, **kwargs):
+      return images, False
+  pipe.safety_checker = null_safety
+
+with autocast("cuda"):
+  images = pipe(n_samples*[prompt], guidance_scale=scale).images
+
+for idx, im in enumerate(images):
+  im.save(f"{idx:06}.png")
+```
+
+## Model description
+
+Trained on [BLIP captioned Pokémon images](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions) using 2xA6000 GPUs on [Lambda GPU Cloud](https://lambdalabs.com/service/gpu-cloud) for around 15,000 step (about 6 hours, at a cost of about $10).
+
+## Links
+
+- [Lambda Diffusers](https://github.com/LambdaLabsML/lambda-diffusers)
+- [Captioned Pokémon dataset](https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions)
+- [Model weights in Diffusers format](https://huggingface.co/lambdalabs/sd-pokemon-diffusers)
+- [Original model weights](https://huggingface.co/justinpinkney/pokemon-stable-diffusion)
+- [Training code](https://github.com/justinpinkney/stable-diffusion)
+
+Trained by [Justin Pinkney](justinpinkney.com) ([@Buntworthy](https://twitter.com/Buntworthy)) at [Lambda Labs](https://lambdalabs.com/).

feature_extractor/preprocessor_config.json

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+{
+  "crop_size": 224,
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "CLIPFeatureExtractor",
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "resample": 3,
+  "size": 224
+}

model_index.json

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+{
+  "_class_name": "StableDiffusionPipeline",
+  "_diffusers_version": "0.3.0",
+  "feature_extractor": [
+    "transformers",
+    "CLIPFeatureExtractor"
+  ],
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

safety_checker/config.json

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+{
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+    "typical_p": 1.0,
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+    "intermediate_size": 4096,
+    "num_attention_heads": 16,
+    "num_hidden_layers": 24,
+    "patch_size": 14
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+}

safety_checker/pytorch_model.bin

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scheduler/scheduler_config.json

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+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
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+}

text_encoder/config.json

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+{
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+}

text_encoder/pytorch_model.bin

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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unet/config.json

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+    "CrossAttnUpBlock2D",
+    "CrossAttnUpBlock2D"
+  ]
+}

unet/diffusion_pytorch_model.bin

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vae/config.json

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+}

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