End of training

3d-icon-Flux-LoRA_emb.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:860d6efa70761fc1feb81781f7429387ecaa5a7c66dd19ff8bcb547ac6a2f056
+size 6224

README.md

@@ -0,0 +1,97 @@
+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- flux
+- flux-diffusers
+- template:sd-lora
+instance_prompt: 3d icon in the style of <s0><s1>
+widget:
+- text: a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
+  output:
+    url: image_0.png
+- text: a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
+  output:
+    url: image_1.png
+- text: a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
+  output:
+    url: image_2.png
+- text: a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>
+  output:
+    url: image_3.png
+---
+
+<!-- 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. -->
+
+
+# Flux DreamBooth LoRA - rangwani-harsh/3d-icon-Flux-LoRA
+
+<Gallery />
+
+## Model description
+
+These are rangwani-harsh/3d-icon-Flux-LoRA DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
+
+The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Flux diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux.md).
+
+Was LoRA for the text encoder enabled? False.
+
+Pivotal tuning was enabled: True.
+
+## Trigger words
+
+To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
+
+    to trigger concept `TOK` → use `<s0><s1>` in your prompt 
+
+    
+
+## Download model
+
+[Download the *.safetensors LoRA](rangwani-harsh/3d-icon-Flux-LoRA/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+from huggingface_hub import hf_hub_download
+    from safetensors.torch import load_file
+            
+pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
+
+embedding_path = hf_hub_download(repo_id='rangwani-harsh/3d-icon-Flux-LoRA', filename='3d-icon-Flux-LoRA_emb.safetensors', repo_type="model")
+    state_dict = load_file(embedding_path)
+    pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
+            
+image = pipeline('a <s0><s1> icon of an astronaut riding a horse, in the style of <s0><s1>').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)
+
+## License
+
+Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
+
+
+## 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]