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1anth0ny.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aed988bb4c1c3783a86180718bfc0b8f93efc24a5747ef089fdd9e948dbb6b3a
+size 171969400

README.md

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 ---
-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
-language:
-- en
 tags:
+- text-to-image
 - flux
-- diffusers
 - lora
-- replicate
-base_model: "black-forest-labs/FLUX.1-dev"
-pipeline_tag: text-to-image
-# widget:
-#   - text: >-
-#       prompt
-#     output:
-#       url: https://...
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: A person in a bustling cafe 1Anth0ny
+    output:
+        url: samples/1726774510357__000003500_0.jpg
+base_model: black-forest-labs/FLUX.1-schnell
 instance_prompt: 1Anth0ny
----
-
-# 1Anth0Ny
-
-<!-- <Gallery /> -->
+license: apache-2.0
 
-Trained on Replicate using:
 
-https://replicate.com/ostris/flux-dev-lora-trainer/train
+---
 
+# 1anth0ny
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
 
 ## Trigger words
+
 You should use `1Anth0ny` 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](/kfhe/1anth0ny/tree/main) them in the Files & versions tab.
 
 ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
 
@@ -38,9 +37,11 @@ You should use `1Anth0ny` to trigger the image generation.
 from diffusers import AutoPipelineForText2Image
 import torch
 
-pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
-pipeline.load_lora_weights('kfhe/1Anth0ny', weight_name='lora.safetensors')
-image = pipeline('your prompt').images[0]
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('kfhe/1anth0ny', weight_name='1anth0ny')
+image = pipeline('A person in a bustling cafe 1Anth0ny').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)
+