End of training

README.md

@@ -0,0 +1,73 @@
+---
+base_model: krea/Krea-2-Raw
+library_name: diffusers
+license: apache-2.0
+instance_prompt: Emily
+widget: []
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- krea2
+- krea2-diffusers
+- template:sd-lora
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# Krea 2 DreamBooth LoRA - Xopen/emily2
+
+<Gallery />
+
+## Model description
+
+These are Xopen/emily2 DreamBooth LoRA weights, trained on krea/Krea-2-Raw.
+
+The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Krea 2 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_krea2.md).
+
+Krea 2 ships as two checkpoints: **RAW** (the non-distilled base you fine-tune on) and **Turbo** (an 8-step distilled checkpoint for fast, high-quality inference). Train your LoRA on RAW and run it on Turbo — LoRAs trained on RAW express strongly on Turbo.
+
+## Trigger words
+
+You should use `Emily` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](Xopen/emily2/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+>>> import torch
+>>> from diffusers import Krea2Pipeline
+
+>>> # Load the LoRA onto Krea 2 Turbo (the distilled inference model)
+>>> pipe = Krea2Pipeline.from_pretrained("krea/Krea-2-Turbo", torch_dtype=torch.bfloat16).to("cuda")
+>>> pipe.load_lora_weights("Xopen/emily2")
+
+>>> # Turbo recipe: 8 steps, no classifier-free guidance
+>>> image = pipe("Emily", num_inference_steps=8, guidance_scale=0.0).images[0]
+>>> image.save("output.png")
+```
+
+For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

checkpoint-1000/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7259e15aa04e02ab6753cf35a3682b54761018946b656c50a841f15bb9701513
+size 195389021

checkpoint-1000/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1767de57a71fbab9961008e1f7f6d43fdf5e568a53b24b36eda5e6b1694d128b
+size 191879256

checkpoint-1000/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fec553a9171b4297c59cadd20746a832ddc600645b39d41ef886c566facf57c8
+size 14821

checkpoint-1000/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aecbad6f76988e59805b2c2f16b18116c5bbc0b2e45c7abd9f48809093950ee3
+size 1401

checkpoint-1500/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49b81427415dbd6005979b7ea403cd94de1d6bfd4a0a251ad8b71c4df7f36d6d
+size 195389021

checkpoint-1500/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c268cd78842334d23fc394f97435ee08575b144ef9832e81b41b8f1893b866cc
+size 191879256

checkpoint-1500/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d69ef02a89b931e22e126a60a0730bd75659113fc8578e677e5a73b3fb280af
+size 14821

checkpoint-1500/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2eb596c6f9aa59d34167636ab41c2da3df0c3ff21e29f89d2e3ac76a594150ef
+size 1401

checkpoint-2000/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:972e395e77a63e75fcd494aa4a29bbf1d7d7919e083f8e323a6aa725adfa69d0
+size 195389021

checkpoint-2000/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6a9f8d77a5ee0e84a6a7648de79be1bd358dedc8093e53b8c961e126e2f0a81
+size 191879256

checkpoint-2000/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63b79695c59e3cd1cb99c9449a9ed883cf8501cc9663ce2cf8d9ffdbf691b145
+size 14821

checkpoint-2000/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9edb951d673c5d142e5d95e00d380de98d2a455d7e6f52cc072187d64cc9a9ed
+size 1401

checkpoint-500/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:128852973132ef6635a5ebed86208c1c822feafeb2365c32dfad133298f694ab
+size 195389021

checkpoint-500/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:552dbb46340e4e22f6df84b0b11a6cc16c4e03fc1c0296a2cf2e3342af5bcc2f
+size 191879256

checkpoint-500/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e301729ec7809db7e32b9bcce50de304b1d53e250c0d33c926abe40ae7b87d01
+size 14821

checkpoint-500/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e94e43a50ee477ab43941b23baa4032c8b1b7d4a967e3f553cd6ebbe0332b3dc
+size 1401

pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c4f3dfced6b6f9aa32e761b28324ed3d83065b32233eafd43b5eb1822a9bcb0
+size 191879256