Update README.md

README.md

@@ -1,116 +1,31 @@
 ---
-license: creativeml-openrail-m
-base_model: "black-forest-labs/FLUX.1-dev"
 tags:
-  - stable-diffusion
-  - stable-diffusion-diffusers
   - text-to-image
-  - diffusers
-  - simpletuner
   - lora
-  - template:sd-lora
-inference: true
+  - diffusers
+  - template:diffusion-lora
 widget:
-- text: 'intertwined paternal voids form a goat melted into fractals crackeds.'
+- text: intertwined paternal voids form a goat melted into fractals crackeds.
   parameters:
-    negative_prompt: ''''
+    negative_prompt: blurry, bad anatomy
   output:
     url: images/fadfea894bb82a4b3385f13f782c39f5.jpg
-- text: 'intertwined paternal voids form a goat melted into fractals crackeds.'
-  parameters:
-    negative_prompt: ''''
-  output:
-    url: images/fadfea894bb82a4b3385f13f782c39f5.jpg
----
-
-# flux-lora-training
-
-This is a LoRA derived from [black-forest-labs/FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev).
-
-
-
-The main validation prompt used during training was:
-
-
-
-```
-anime illustraion of a group photo of ddadvege and ooozar together
-```
-
-## Validation settings
-- CFG: `4.5`
-- CFG Rescale: `0.0`
-- Steps: `28`
-- Sampler: `None`
-- Seed: `42`
-- Resolution: `1024`
-
-Note: The validation settings are not necessarily the same as the [training settings](#training-settings).
-
-You can find some example images in the following gallery:
+base_model: Freepik/flux.1-lite-8B
+instance_prompt: evil
 
+---
+# Trasher
 
 <Gallery />
 
-The text encoder **was not** trained.
-You may reuse the base model text encoder for inference.
-
-
-## Training settings
-
-- Training epochs: 2999
-- Training steps: 9000
-- Learning rate: 0.0001
-- Effective batch size: 1
-  - Micro-batch size: 1
-  - Gradient accumulation steps: 1
-  - Number of GPUs: 1
-- Prediction type: flow-matching
-- Rescaled betas zero SNR: False
-- Optimizer: AdamW, stochastic bf16
-- Precision: Pure BF16
-- Xformers: Enabled
-- LoRA Rank: 32
-- LoRA Alpha: None
-- LoRA Dropout: 0.1
-- LoRA initialisation style: default
-
-
-## Datasets
-
-### default_dataset
-- Repeats: 0
-- Total number of images: 3
-- Total number of aspect buckets: 1
-- Resolution: 0.5 megapixels
-- Cropped: True
-- Crop style: center
-- Crop aspect: square
-
-
-## Inference
 
+## Trigger words
 
-```python
-import torch
-from diffusers import DiffusionPipeline
+You should use `evil` to trigger the image generation.
 
-model_id = 'black-forest-labs/FLUX.1-dev'
-adapter_id = 'Emuixom/Trasher_Riddick'
-pipeline = DiffusionPipeline.from_pretrained(model_id)
-pipeline.load_lora_weights(adapter_id)
 
-prompt = "anime illustraion of a group photo of ddadvege and ooozar together"
+## Download model
 
+Weights for this model are available in Safetensors format.
 
-pipeline.to('cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu')
-image = pipeline(
-    prompt=prompt,
-    num_inference_steps=15,
-    generator=torch.Generator(device='cuda' if torch.cuda.is_available() else 'mps' if torch.backends.mps.is_available() else 'cpu').manual_seed(1641421826),
-    width=512,
-    height=512,
-    guidance_scale=3.5,
-).images[0]
-image.save("output.png", format="PNG")
-```
+[Download](/Emuixom/Trasher_Riddick/tree/main) them in the Files & versions tab.