Update README.md

README.md

@@ -9,13 +9,9 @@ tags:
 - diffusers
 - lora
 - replicate
-base_model: "black-forest-labs/FLUX.1-dev"
+base_model:
+- John6666/fluxunchained-artfulnsfw-fut516xfp8e4m3fnv11-fp8-flux
 pipeline_tag: text-to-image
-# widget:
-#   - text: >-
-#       prompt
-#     output:
-#       url: https://...
 instance_prompt: rups
 ---
 
@@ -38,9 +34,9 @@ You should use `rups` 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 = AutoPipelineForText2Image.from_pretrained('John6666/fluxunchained-artfulnsfw-fut516xfp8e4m3fnv11-fp8-flux', torch_dtype=torch.float16).to('cuda')
 pipeline.load_lora_weights('harshasai-dev/rupss', weight_name='lora.safetensors')
 image = pipeline('your prompt').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)
+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)