run and generate model card

README.md

@@ -1,3 +1,82 @@
 ---
 license: openrail++
+library_name: diffusers
+tags:
+- text-to-image
+- diffusers
+- diffusers-training
+- lora
+- template:sd-lorastable-diffusion
+- stable-diffusion-diffusers
+base_model: runwayml/stable-diffusion-v1-5
+inference: true
+instance_prompt: A mushroom in [V] style
 ---
+
+<!-- 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. -->
+
+
+# SD1.5 LoRA DreamBooth - cosmo3769/test
+
+<Gallery />
+
+## Model description
+
+### These are cosmo3769/test LoRA adaption weights for runwayml/stable-diffusion-v1-5.
+
+## Download model
+
+### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
+
+- **LoRA**: download **[`..safetensors` here 💾](/cosmo3769/test/blob/main/..safetensors)**.
+    - Place it on your `models/Lora` folder.
+    - On AUTOMATIC1111, load the LoRA by adding `<lora:.:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
+
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('cosmo3769/test', weight_name='pytorch_lora_weights.safetensors')
+
+image = pipeline('A mushroom in [V] style').images[0]
+```
+
+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)
+
+## Trigger words
+
+You should use A mushroom in [V] style to trigger the image generation.
+
+## Details
+All [Files & versions](/cosmo3769/test/tree/main).
+
+The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py).
+
+LoRA for the text encoder was enabled. False.
+
+Pivotal tuning was enabled: False.
+
+Special VAE used for training: None.
+
+
+
+## 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]