prithivMLmods commited on
Commit
bada751
1 Parent(s): e53d9c2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +42 -0
README.md CHANGED
@@ -49,6 +49,48 @@ license: creativeml-openrail-m
49
  ![strangerzonehf/Flux-3DXL-Partfile-C0001](images/cx.png)
50
  <Gallery />
51
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
52
 
53
  ## Trigger words
54
 
 
49
  ![strangerzonehf/Flux-3DXL-Partfile-C0001](images/cx.png)
50
  <Gallery />
51
 
52
+ ## Model description for 3DXL Partfile 000C1
53
+
54
+ Image Processing Parameters
55
+
56
+ | Parameter | Value | Parameter | Value |
57
+ |---------------------------|--------|---------------------------|--------|
58
+ | LR Scheduler | constant | Noise Offset | 0.03 |
59
+ | Optimizer | AdamW | Multires Noise Discount | 0.1 |
60
+ | Network Dim | 64 | Multires Noise Iterations | 10 |
61
+ | Network Alpha | 32 | Repeat & Steps | 15 & 2500 |
62
+ | Epoch | 18 | Save Every N Epochs | 1 |
63
+
64
+ Labeling: florence2-en(natural language & English)
65
+
66
+ Total Images Used for Training : 17
67
+
68
+ ## Best Dimensions & Inference
69
+
70
+ | **Dimensions** | **Aspect Ratio** | **Recommendation** |
71
+ |-----------------|------------------|---------------------------|
72
+ | 1280 x 832 | 3:2 | Best |
73
+ | 1024 x 1024 | 1:1 | Default |
74
+
75
+ ### Inference Range
76
+
77
+ - **Recommended Inference Steps:** 30–35
78
+
79
+ ## Setting Up
80
+ ```python
81
+ import torch
82
+ from pipelines import DiffusionPipeline
83
+
84
+ base_model = "black-forest-labs/FLUX.1-dev"
85
+ pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
86
+
87
+ lora_repo = "strangerzonehf/Flux-3DXL-Partfile-C0001"
88
+ trigger_word = "3DXLC1"
89
+ pipe.load_lora_weights(lora_repo)
90
+
91
+ device = torch.device("cuda")
92
+ pipe.to(device)
93
+ ```
94
 
95
  ## Trigger words
96