Upload folder using huggingface_hub

README.md

@@ -0,0 +1,53 @@
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: A person in a bustling cafe mcsclero
+    output:
+        url: samples/1725361648741__000001000_0.jpg
+-   text: A man emerges from the forest mcsclero
+    output:
+        url: samples/1725361752021__000001000_1.jpg
+-   text: mcsclero working on old synthesizers
+    output:
+        url: samples/1725361855378__000001000_2.jpg
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: mcsclero
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+# mc-scleroscope
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `mcsclero` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
+
+Weights for this model are available in Safetensors format.
+
+[Download](/mitrick2/mc-scleroscope/tree/main) them in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('mitrick2/mc-scleroscope', weight_name='mc-scleroscope')
+image = pipeline('A person in a bustling cafe mcsclero').images[0]
+image.save("my_image.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)
+

mc-scleroscope.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:351d51595bc65d9d3930123d1958089c993e02cdc7b6ad09903153fd43f2c25a
+size 171969408